diff --git a/showcase/OFE-color-horizontal.png b/showcase/images/OFE-color-horizontal.png similarity index 100% rename from showcase/OFE-color-horizontal.png rename to showcase/images/OFE-color-horizontal.png diff --git a/showcase/images/cli_workflow.png b/showcase/images/cli_workflow.png new file mode 100644 index 00000000..51119f9b Binary files /dev/null and b/showcase/images/cli_workflow.png differ diff --git a/showcase/images/ecosystem.png b/showcase/images/ecosystem.png new file mode 100644 index 00000000..c03184da Binary files /dev/null and b/showcase/images/ecosystem.png differ diff --git a/showcase/images/free_energy_campaign.png b/showcase/images/free_energy_campaign.png new file mode 100644 index 00000000..092202d3 Binary files /dev/null and b/showcase/images/free_energy_campaign.png differ diff --git a/showcase/images/hrex.jpg b/showcase/images/hrex.jpg new file mode 100644 index 00000000..162d73c5 Binary files /dev/null and b/showcase/images/hrex.jpg differ diff --git a/showcase/images/hybrid_topology.png b/showcase/images/hybrid_topology.png new file mode 100644 index 00000000..83584b77 Binary files /dev/null and b/showcase/images/hybrid_topology.png differ diff --git a/showcase/images/lambda_scaling.png b/showcase/images/lambda_scaling.png new file mode 100644 index 00000000..81acae36 Binary files /dev/null and b/showcase/images/lambda_scaling.png differ diff --git a/showcase/images/openfe_workflow.png b/showcase/images/openfe_workflow.png new file mode 100644 index 00000000..097b2a35 Binary files /dev/null and b/showcase/images/openfe_workflow.png differ diff --git a/showcase/images/rbfe_thermocycle.png b/showcase/images/rbfe_thermocycle.png new file mode 100644 index 00000000..4c518d20 Binary files /dev/null and b/showcase/images/rbfe_thermocycle.png differ diff --git a/showcase/tyk2.png b/showcase/images/tyk2.png similarity index 100% rename from showcase/tyk2.png rename to showcase/images/tyk2.png diff --git a/showcase/images/tyk2_edge.png b/showcase/images/tyk2_edge.png new file mode 100644 index 00000000..93096cc1 Binary files /dev/null and b/showcase/images/tyk2_edge.png differ diff --git a/showcase/images/workflow.png b/showcase/images/workflow.png new file mode 100644 index 00000000..cdb3ee7d Binary files /dev/null and b/showcase/images/workflow.png differ diff --git a/showcase/openfe_showcase.ipynb b/showcase/openfe_showcase.ipynb index 6fe9a7eb..45bc9c57 100644 --- a/showcase/openfe_showcase.ipynb +++ b/showcase/openfe_showcase.ipynb @@ -3,61 +3,56 @@ { "cell_type": "markdown", "id": "cb0d308b-8f50-4ac9-a8a3-550d8a2e3feb", - "metadata": { - "jp-MarkdownHeadingCollapsed": true - }, + "metadata": {}, "source": [ - " \n", + " \n", "\n", "# OpenFE Showcase: Relative Binding Free Energies in the TYK2 System" ] }, { "cell_type": "markdown", - "id": "8eea1a56-3241-4ccf-9d3a-88de6bbf0e0e", + "id": "f347f95a-ce31-4d2f-958e-0a6e33374dea", "metadata": {}, "source": [ - "# Intro\n", - "\n", - "Welcome to the Open Free Energy toolkit!\n", + "## Introduction\n", "\n", - "The OpenFE toolkit provides open-source frameworks for calculating alchemical free energies. This notebook showcases the methods that are available in OpenFE and their usage.\n", + "Welcome to the Open Free Energy toolkit! **openfe** is an open-source package for planning, running and analyzing alchemical free energy calculations.\n", "\n", - "Throughout this showcase, we will introduce different interchangeable components that users can choose from during the setup of free energy calculations. OpenFE allows you to mix and match different components, such as:\n", + "In this showcase we calculate relative binding free energies (RBFEs) for a congeneric series of ligands binding to tyrosine kinase 2 (TYK2), using the Relative Hybrid Topology Protocol. Along the way, we introduce the main building blocks of **openfe** and the choices you can make at each step, such as:\n", "\n", "* Atom mappers\n", "* Scorers (for atom mappings)\n", "* Ligand networks\n", "\n", - "This showcase currently focuses on relative binding free energy (RBFE) calculations using a hybrid topology approach. However, OpenFE provides a wide range of protocols for:\n", - "- [Absolute binding free energy calculations](https://docs.openfree.energy/en/latest/tutorials/abfe_tutorial.html)\n", - "- [Absolute hydration free energy calculations](https://docs.openfree.energy/en/latest/tutorials/ahfe_tutorial.html)\n", - "- [Molecular Dynamics (MD) simulations](https://docs.openfree.energy/en/latest/tutorials/md_tutorial.html)\n", - "- [Relative binding free energy calculations using a Separated Topologies (SepTop) approach](https://docs.openfree.energy/en/latest/tutorials/septop_tutorial.html)\n", + "This showcase focuses on relative binding free energy (RBFE) calculations using a hybrid topology approach. **openfe** also provides protocols for:\n", "\n", - "If you are planning your own calculations, please also check out our [tutorials](https://docs.openfree.energy/en/stable/tutorials/index.html) which will walk you step-by-step through setup, execution and analysis of different protocols." + "- [Relative binding free energy calculations using a Separated Topologies (SepTop) approach](https://docs.openfree.energy/en/stable/tutorials/septop_tutorial.html)\n", + "- [Absolute binding free energy calculations](https://docs.openfree.energy/en/stable/tutorials/abfe_tutorial.html)\n", + "- [Absolute hydration free energy calculations](https://docs.openfree.energy/en/stable/tutorials/ahfe_tutorial.html)\n", + "- [Molecular dynamics (MD) simulations](https://docs.openfree.energy/en/stable/tutorials/md_tutorial.html)" ] }, { "cell_type": "markdown", - "id": "28f40a29-4ddd-4f25-8c08-154bb3139bb3", + "id": "b74dcaf2-5fae-4bff-bd76-e7aa7c2be213", "metadata": {}, "source": [ - "# Outline\n", + "## Outline\n", "\n", - "0. Setup for Google Colab \n", - "1. Overview \n", - "2. Setup \n", - " 2.1. Loading Ligands and Defining Ligand Atom Mappings \n", - " 2.2. Creating a ligand network \n", - " 2.3. Defining ChemicalSystems \n", - " 2.4. Defining the RBFE simulation settings and protocol \n", - "3. Running a Relative Ligand Binding Free Energy Calculation \n", - " 3.1. Using the Python API \n", - " 3.2. Using the CLI \n", - "4. Analysis\n", - "5. Relative Free Energies with the OpenFE CLI\n", - "6. Useful References for Getting Started" + "0. Setup for Google Colab\n", + "1. Overview\n", + "2. Background: hybrid topology RBFEs\n", + "3. The TYK2 inputs\n", + "4. Assigning partial charges\n", + "5. Atom mappings and scoring\n", + "6. Ligand networks\n", + "7. Protocol settings\n", + "8. Creating transformations\n", + "9. Running the calculations\n", + "10. Results\n", + "11. Analysing results with cinnabar\n", + "12. Next steps" ] }, { @@ -97,7 +92,7 @@ " \n", " !pip install -q condacolab\n", " import condacolab\n", - " condacolab.install_from_url(\"https://github.com/OpenFreeEnergy/openfe/releases/download/v1.7.0/OpenFEforge-1.7.0-Linux-x86_64.sh\")" + " condacolab.install_from_url(\"https://github.com/OpenFreeEnergy/openfe/releases/download/v1.13.0/OpenFEforge-1.13.0-Linux-x86_64.sh\")" ] }, { @@ -141,257 +136,387 @@ }, { "cell_type": "markdown", - "id": "0eaea8f6", - "metadata": { - "id": "0eaea8f6" - }, + "id": "8421015e-4d1e-4206-9d79-db9204e083bd", + "metadata": {}, "source": [ - "# 1. Overview\n", + "## 1. Overview\n", + "\n", + "An **openfe** calculation has three stages:\n", "\n", - "In this example we show how to set up a network of transformations using\n", - "the OpenFE toolkit for small chemical modifications of ligands binding to tyrosine kinase 2 (TYK2).\n", + "1. **Setup**: load the protein and ligands, decide which ligand pairs to compare, and define how each transformation is simulated.\n", + "2. **Run**: execute the simulations, usually on GPUs.\n", + "3. **Gather**: combine the simulation outputs into free energy estimates and analyze them.\n", "\n", - "For convenience, a prepared (capped and protonated) PDB structure of the\n", - "TYK2 protein is provided under `inputs/tyk2_protein.pdb`. " + "Each stage can be carried out with the Python API or with the command line interface (CLI). This notebook uses the Python API for planning, and the CLI for running and gathering, which is how most production campaigns are run.\n", + "\n", + "\n", + "\n", + "
\n", + "\n", + "**Which protocol?** The Relative Hybrid Topology Protocol used here works best for ligands that share a common core, such as this TYK2 series. For chemically diverse ligands, such as scaffold hops, the Separated Topologies Protocol is usually a better choice. See [Choosing a protocol](https://docs.openfree.energy/en/stable/guide/protocols/index.html).\n", + "\n", + "**Tutorials for the other protocols:** [Separated Topologies](https://docs.openfree.energy/en/stable/tutorials/septop_tutorial.html) · [Absolute binding](https://docs.openfree.energy/en/stable/tutorials/abfe_tutorial.html) · [Absolute hydration](https://docs.openfree.energy/en/stable/tutorials/ahfe_tutorial.html) · [Molecular dynamics](https://docs.openfree.energy/en/stable/tutorials/md_tutorial.html)\n", + "\n", + "
" ] }, { "cell_type": "markdown", - "id": "31608e5a-cedf-4840-b809-a7df32b319ea", + "id": "3bd66725-193d-4250-8d50-7e2bb98d197b", "metadata": {}, "source": [ - "" + "## 2. Background: hybrid topology RBFEs\n", + "\n", + "### The thermodynamic cycle\n", + "\n", + "Rather than computing each ligand's binding free energy directly, we compute the *difference* in binding free energy between two ligands, ΔΔG, using a thermodynamic cycle:\n", + "\n", + "\n", + "\n", + "The horizontal legs (binding) are very hard to converge, so instead we simulate the vertical legs, alchemically transforming ligand A into ligand B both in solvent and in the protein-bound complex:\n", + "\n", + "$$\\Delta\\Delta G_{\\mathrm{bind}}(A \\rightarrow B) = \\Delta G_{\\mathrm{complex}}(A \\rightarrow B) - \\Delta G_{\\mathrm{solvent}}(A \\rightarrow B)$$\n", + "\n", + "Every ligand pair therefore needs **two** simulations: a solvent leg and a complex leg." ] }, { "cell_type": "markdown", - "id": "e9a7f137", - "metadata": { - "id": "e9a7f137" - }, + "id": "35194432-1eb4-4f7e-8efd-062eff83b3df", + "metadata": {}, "source": [ - "## 1.1. The dataset: Alchemical transformations of TYK2 ligands\n", + "### Sampling along the alchemical path\n", "\n", - "Here we explore how OpenFE can be used to build a network of alchemical transformations between the TYK2 ligands.\n", + "The transformation from A to B is controlled by a coupling parameter, λ, which interpolates the interactions of the atoms that differ between the two ligands. The system is simulated at a series of discrete λ values (λ windows), chosen so that neighbouring windows overlap, and the free energy is estimated from all windows with the multistate Bennett acceptance ratio (MBAR).\n", "\n", - "First, we will use rdkit to visualize the TYK2 ligands." + "" ] }, { - "cell_type": "code", - "execution_count": 1, - "id": "711d73bc-519f-4b81-9daf-c7594c7bbf8f", + "cell_type": "markdown", + "id": "fc0dde14-1a4e-4083-8e0c-1874ececfb6b", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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", - "text/plain": [ - "" - ] - }, - "execution_count": 1, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ - "from rdkit import Chem\n", - "from rdkit.Chem import AllChem\n", - "from rdkit.Chem import Draw\n", + "To improve sampling, **openfe** uses Hamiltonian replica exchange (HREX), where swaps between neighbouring windows are attempted at regular intervals. This lets configurations move along the alchemical path and escape local minima.\n", "\n", - "# Extract the contents of the sdf file and visualise it\n", - "ligands_rdmol = [mol for mol in\n", - " Chem.SDMolSupplier('inputs/tyk2_ligands.sdf', removeHs=False)]\n", + "\n", "\n", - "for ligand in ligands_rdmol:\n", - " AllChem.Compute2DCoords(ligand)\n", - "\n", - "Chem.Draw.MolsToGridImage(ligands_rdmol)" + "*HREX sampling across λ windows, reproduced from Mey et al., [Best Practices for Alchemical Free Energy Calculations](https://pmc.ncbi.nlm.nih.gov/articles/PMC8388617/).*" ] }, { "cell_type": "markdown", - "id": "0870f84e", - "metadata": { - "id": "0870f84e" - }, + "id": "b3877dd8-2cb8-4345-8354-887176d2a23f", + "metadata": {}, "source": [ - "## 1.2. The plan\n", + "### The hybrid topology approach\n", + "\n", + "In a hybrid topology, both ligands are represented by a single combined molecule. Atoms shared by the two ligands (the core) are interpolated between their parameters in A and B, while atoms unique to either ligand are switched on or off as dummy atoms. Because only the differing atoms are perturbed, these transformations are usually cheaper to converge than perturbing whole molecules.\n", + "\n", + "\n", + "\n", + "*Hybrid topology scheme, reproduced from the [alchemistry.org wiki](https://www.alchemistry.org/wiki/Constructing_a_Pathway_of_Intermediate_States).*\n", + "\n", + "
\n", "\n", - "Here is what we will achieve in this notebook and what software toolchains are\n", - "used along the way.\n", - " \n", + "The terminology varies across the literature: the approach called \"hybrid topology\" here is described elsewhere as \"single topology\" or \"dual topology\".\n", "\n", - "| **Actions** | **Software** |\n", - "|:------------------------------|:--------------------------------------------------------|\n", - "| Create OpenFE Molecules | OpenFE RDKit |\n", - "| Create Network | OpenFE Lomap, Kartograf, NetworkX |\n", - "| Visualise Network | OpenFE NetworkX, RDKit, Matplotlib |\n", - "| Create ligand topologies | OpenFE interface - OpenFF tk |\n", - "| Create hybrid OpenMM topology | OpenFE interface - OpenMMTools (eventually - ex Perses) |\n", - "| Create Lambda Protocol | OpenFE interface - OpenMMTools (eventually - ex Perses) |\n", - "| Set up and run RBFE calculations | OpenFE interface - OpenMM + OpenMMTools |\n", - "| Analyze RBFE calculations | OpenFE interface - PyMBAR + OpenMMTools |" + "
\n", + "\n", + "This approach comes with some requirements:\n", + "\n", + "* **A common core.** Ligands must share enough of their scaffold for a sensible atom mapping. Transformations with many appearing or disappearing atoms converge poorly.\n", + "* **Aligned poses.** The common core must occupy the same position in both ligands' input poses. This is why the TYK2 ligands are provided pre-aligned.\n", + "* **Similar binding modes.** Large differences in binding mode between ligands are hard to capture.\n", + "* **Dummy atom approximations.** The treatment of dummy atoms can introduce systematic errors (see [Fleck et al., 2021](https://pmc.ncbi.nlm.nih.gov/articles/PMC8280730/)).\n", + "\n", + "The Relative Hybrid Topology Protocol builds on the hybrid topology implementation\n", + "originally developed in [perses](https://github.com/choderalab/perses) by the Chodera\n", + "lab and collaborators, and on the multistate sampling tools in\n", + "[OpenMMTools](https://github.com/choderalab/openmmtools). We are grateful to their\n", + "developers for making this work openly available. If you use this protocol, please\n", + "also consider citing perses ([Rufa et al., 2023](https://doi.org/10.5281/zenodo.8350218))." ] }, { "cell_type": "markdown", - "id": "14ade1f0", - "metadata": { - "id": "14ade1f0" - }, + "id": "56f13e09-6458-4979-8a49-b014f406c343", + "metadata": {}, "source": [ - "# 2. Setup" + "
\n", + "\n", + "**Learn more:** [Relative Hybrid Topology Protocol](https://docs.openfree.energy/en/stable/guide/protocols/relativehybridtopology.html)\n", + "\n", + "
" ] }, { "cell_type": "markdown", - "id": "5962dec2-d9ef-475d-8086-ee15954e81f6", + "id": "c6891318-635f-4c97-91d4-a5345b96315a", "metadata": {}, "source": [ - "## 2.1. Loading Ligands and Defining Ligand Atom Mappings" + "## 3. The TYK2 inputs\n", + "\n", + "The inputs for this showcase are in `inputs/`:\n", + "\n", + "* `tyk2_protein.pdb`: the prepared (capped and protonated) TYK2 protein.\n", + "* `tyk2_ligands.sdf`: ten ligands with their binding poses, aligned on their common core.\n", + "\n", + "\n", + "\n", + "
\n", + "\n", + "**openfe** does not prepare structures. Protonation, modelling of missing residues and generation of ligand poses must be done beforehand. See [Preparing input structures](https://docs.openfree.energy/en/stable/guide/setup/preparing_inputs.html) for what **openfe** expects.\n", + "\n", + "
\n", + "\n", + "Let's look at the ligands in 2D:" ] }, { - "cell_type": "markdown", - "id": "f734578f", + "cell_type": "code", + "execution_count": 1, + "id": "e9a7f137", "metadata": { - "id": "f734578f" + "id": "e9a7f137" }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "### Creating OpenFE SmallMoleculeComponents\n", - "\n", - "To keep track of the various inputs being passed through the OpenFE\n", - "toolkit, OpenFE implements a set of Components which define the proteins,\n", - "small molecules, and solvent components which a system may contain. Here we\n", - "use the [SmallMoleculeComponent](https://github.com/OpenFreeEnergy/gufe/blob/main/gufe/components/smallmoleculecomponent.py)\n", - "which takes in either [RDKit molecules](https://www.rdkit.org/docs/source/rdkit.Chem.rdmolfiles.html)\n", - "or [OpenFF molecules](https://open-forcefield-toolkit.readthedocs.io/en/0.9.2/api/generated/openff.toolkit.topology.Molecule.html).\n", - "\n", - "In the backend, OpenFE treats the RDKit molecules as the central representation\n", - "of the ligands, and uses the OpenFF toolkit to convert between objects from\n", - "various toolchains (for example OpenEye's OEMol).\n", - "\n", - "Here we demonstrate how to load the ligands from `inputs/tyk2_ligands.sdf` into a\n", - "list of OpenFE `SmallMoleculeComponent`s for further processing." + "import openfe\n", + "from rdkit import Chem\n", + "from rdkit.Chem import AllChem, Draw\n", + "\n", + "# Load the ligands without hydrogens for a clearer 2D depiction\n", + "ligand_rdmols_2d = [mol for mol in Chem.SDMolSupplier(\"inputs/tyk2_ligands.sdf\", removeHs=True)]\n", + "for mol in ligand_rdmols_2d:\n", + " AllChem.Compute2DCoords(mol)\n", + "\n", + "Draw.MolsToGridImage(\n", + " ligand_rdmols_2d,\n", + " legends=[mol.GetProp(\"_Name\") for mol in ligand_rdmols_2d],\n", + " molsPerRow=5,\n", + " subImgSize=(220, 180),\n", + ")" ] }, { "cell_type": "markdown", - "id": "fbc94d04-5d68-4123-82b2-97a1b8872375", + "id": "e3dfe665-c0c5-444d-aaf0-f9097500bb03", "metadata": {}, "source": [ - "Load ligands using RDKit:" + "And one of them in its binding pose (left-click and drag to rotate, scroll to zoom):" ] }, { "cell_type": "code", "execution_count": 2, - "id": "4096ce97", - "metadata": { - "id": "4096ce97" - }, - "outputs": [], + "id": "07c7ecfc-45be-4889-869e-fbf4d03a7a15", + "metadata": {}, + "outputs": [ + { + "data": { + "application/3dmoljs_load.v0": "
\n

3Dmol.js failed to load for some reason. Please check your browser console for error messages.

\n
\n", + "text/html": [ + "
\n", + "

3Dmol.js failed to load for some reason. Please check your browser console for error messages.

\n", + "
\n", + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "import locale\n", - "locale.getpreferredencoding = lambda _: 'UTF-8' # hack for google colab, not needed for local execution\n", - "from openfe import SmallMoleculeComponent\n", + "import py3Dmol\n", "\n", - "# Load ligands using RDKit\n", - "ligands_sdf = Chem.SDMolSupplier('inputs/tyk2_ligands.sdf', removeHs=False)\n", + "example_ligand = Chem.MolFromMolBlock(\n", + " Chem.MolToMolBlock(next(Chem.SDMolSupplier(\"inputs/tyk2_ligands.sdf\", removeHs=True)))\n", + ")\n", + "\n", + "view = py3Dmol.view(width=600, height=400)\n", + "with open(\"inputs/tyk2_protein.pdb\") as pdb_file:\n", + " view.addModel(pdb_file.read(), \"pdb\")\n", + "view.addModel(Chem.MolToMolBlock(example_ligand), \"mol\")\n", "\n", - "# Now pass these to form a list of Molecules\n", - "ligand_mols = [SmallMoleculeComponent(sdf) for sdf in ligands_sdf]" + "view.setStyle({\"model\": 0}, {\"cartoon\": {\"color\": \"lightgrey\"}})\n", + "view.setStyle({\"model\": 1}, {\"stick\": {\"colorscheme\": \"cyanCarbon\"}})\n", + "view.zoomTo({\"model\": 1})\n", + "view.show()" ] }, { "cell_type": "markdown", - "id": "044045af-020c-4926-b295-0c9db5bd6a0c", + "id": "e3aec94d-5aa5-4461-9648-3ade70ee2c68", "metadata": {}, "source": [ - "Load ligands using the OpenFF toolkit:" + "### Creating **openfe** `Components`\n", + "\n", + "**openfe** represents each part of a system as a `Component`. \n", + "\n", + "Ligands (and if present cofactors) are `SmallMoleculeComponent`s, created here from RDKit molecules, which keep the 3D coordinates, bond orders and names from the SDF file:" ] }, { "cell_type": "code", "execution_count": 3, - "id": "b5e5b538-4847-42f5-b29e-6e1f25bbbeed", + "id": "e37fe6a4-3ccc-47bd-90c0-e031f909df25", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['lig_ejm_31', 'lig_ejm_42', 'lig_ejm_43', 'lig_ejm_46', 'lig_ejm_47', 'lig_ejm_48', 'lig_ejm_50', 'lig_jmc_23', 'lig_jmc_27', 'lig_jmc_28']\n" + ] + } + ], "source": [ - "from openff.toolkit import Molecule\n", - "from openfe import SmallMoleculeComponent\n", - "\n", - "# Load ligands using OpenFF toolkit\n", - "ligands_sdf = Molecule.from_file('inputs/tyk2_ligands.sdf')\n", - "\n", - "# Now pass these to form a list of Molecules\n", - "ligand_mols = [SmallMoleculeComponent.from_openff(sdf) for sdf in ligands_sdf]" + "ligands = [\n", + " openfe.SmallMoleculeComponent.from_rdkit(mol)\n", + " for mol in Chem.SDMolSupplier(\"inputs/tyk2_ligands.sdf\", removeHs=False)\n", + "]\n", + "print([ligand.name for ligand in ligands])" ] }, { "cell_type": "markdown", - "id": "3a8d5433", - "metadata": { - "id": "3a8d5433" - }, + "id": "2a932388-59ac-4c7f-8462-b257098dc47b", + "metadata": {}, "source": [ - "OpenFE `SmallMoleculeComponent`s have some useful built-in attributes and methods.\n", + "The protein is loaded as a `ProteinComponent`, which also holds any crystallographic waters and ions in the PDB file. \n", "\n", - "For example, the molecule's name (as defined by the SDF file) can be accessed:" + "The solvent is a `SolventComponent` which describes the composition of the solvent (here water with 0.15 M NaCl, neutralizing the system) rather than explicit water positions. The size and shape of the box and the water model are not part of the `SolventComponent`, they are set in the protocol's `solvation_settings`, covered in Section 7." ] }, { "cell_type": "code", "execution_count": 4, - "id": "faacbebb", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "faacbebb", - "outputId": "bc0ad1d9-72ad-49d0-e322-61b2a87d5301" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "name: lig_ejm_31\n" - ] - } - ], + "id": "589b2b74-5e48-4281-a495-f8e93f71b8a2", + "metadata": {}, + "outputs": [], "source": [ - "print(\"name: \", ligand_mols[0].name)" + "from openff.units import unit\n", + "\n", + "protein = openfe.ProteinComponent.from_pdb_file(\"inputs/tyk2_protein.pdb\")\n", + "solvent = openfe.SolventComponent(\n", + " positive_ion=\"Na\",\n", + " negative_ion=\"Cl\",\n", + " neutralize=True,\n", + " ion_concentration=0.15 * unit.molar,\n", + ")" ] }, { "cell_type": "markdown", - "id": "b24a3ffa", - "metadata": { - "id": "b24a3ffa" - }, + "id": "4b117430-b6a4-452a-a6f3-74506a75ce0d", + "metadata": {}, + "source": [ + "
\n", + "\n", + "**Learn more:** [Loading molecules and chemical systems](https://docs.openfree.energy/en/stable/cookbook/loading_molecules.html) · [Components, chemical systems and thermodynamic cycles](https://docs.openfree.energy/en/stable/guide/setup/chemical_systems_and_thermodynamic_cycles.html)\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "22a869a4-f112-4447-a749-ff30df58404f", + "metadata": {}, "source": [ - "As previously stated, `SmallMoleculeComponent`s also use the OpenFF backend to allow conversion between different object types. For example, it's possible to obtain an OpenFF Molecule:" + "## 4. Assigning partial charges\n", + "\n", + "Partial charges are assigned during setup if they are missing, but we recommend assigning them once, up front. Conventional methods such as AM1-BCC are not perfectly reproducible. Small differences between runs (of the order of 0.03 e) are common, and if a ligand ends up with slightly different charges in its solvent and complex legs, the error enters the thermodynamic cycle ([Osato et al., 2025](https://pmc.ncbi.nlm.nih.gov/articles/PMC12079016/)). Charging once and reusing the charges avoids this.\n", + "\n", + "Here we use [OpenFF NAGL](https://docs.openforcefield.org/projects/nagl/en/latest/) with the AshGC model, a graph neural network that reproduces AM1BCCELF10 charges in a fraction of the time. It is also the charge model the OpenFF 2.3.0 force field was fitted with, which we use in section 7.\n", + "\n", + "From the CLI, the same step is `openfe charge-molecules`." ] }, { "cell_type": "code", "execution_count": 5, - "id": "29b7c68a", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "29b7c68a", - "outputId": "39e7a77a-d2b8-49d2-8f70-fd8118845a99" - }, + "id": "d79ec609-52a2-4c0e-82f7-c4628138e7f7", + "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Generating charges: 100%|███████████████████████| 10/10 [00:04<00:00, 2.11it/s]\n" + ] + }, { "data": { + "text/html": [ + "
Magnitude
[0.1448139477870427 -0.09448049921775237 -0.12968765903497115 0.05276030342793092 -0.135585687647108 0.05276030342793092 -0.12968765903497115 0.15515131544088945 -0.06017462123418227 0.6910391975543462 -0.5483320425846614 -0.48030141700292006 0.3238180209300481 0.1279890764853917 -0.26826892007375136 0.44780837785219774 -0.7103845547535457 0.5609757829806767 -0.3414706062176265 0.13770612369989976 -0.5591573785641231 0.31294750462984666 0.6885952283046208 -0.5529239248135127 -0.18056669045472518 0.06981571804499254 0.06981571804499254 0.06981571804499254 0.021423640137072653 0.1688089896342717 -0.06017462123418227 0.15515131544088945]
Unitselementary_charge
" + ], + "text/latex": [ + "$\\begin{pmatrix} & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & & \\end{pmatrix}\\ \\mathrm{elementary\\_charge}$" + ], "text/plain": [ - "openff.toolkit.topology.molecule.Molecule" + "" ] }, "execution_count": 5, @@ -400,31 +525,49 @@ } ], "source": [ - "type(ligand_mols[0].to_openff())" + "from openfe.protocols.openmm_utils.charge_generation import bulk_assign_partial_charges\n", + "\n", + "ligands = bulk_assign_partial_charges(\n", + " molecules=ligands,\n", + " overwrite=False,\n", + " method=\"nagl\",\n", + " toolkit_backend=\"ambertools\",\n", + " generate_n_conformers=None,\n", + " nagl_model=\"openff-gnn-am1bcc-1.0.0.pt\",\n", + " processors=1,\n", + ")\n", + "\n", + "# The charges are stored on the Component and carried through to the simulations\n", + "ligands[0].to_openff().partial_charges" ] }, { "cell_type": "markdown", - "id": "9e72bee2-bcb3-466f-86e7-8b51c8932aa7", + "id": "7c1d4fbb-c97d-4216-9434-0e192e9984d1", "metadata": {}, "source": [ - "### Ligand Atom Mapping" + "
\n", + "\n", + "**Learn more:** [Assigning partial charges](https://docs.openfree.energy/en/stable/cookbook/user_charges.html) · [Generating partial charges with the CLI](https://docs.openfree.energy/en/stable/tutorials/charge_molecules_cli_tutorial.html)\n", + "\n", + "
" ] }, { "cell_type": "markdown", - "id": "3128085c-db8a-4a70-89ef-0fde956fdb40", + "id": "4624345e-5602-4f1d-add4-24340365e486", "metadata": {}, "source": [ - "In the [hybrid topology RBFE protocol](https://docs.openfree.energy/en/latest/guide/protocols/relativehybridtopology.html) , an atom mapping defines which atoms are mutated during the alchemical transformation.\n", - "The user can choose between two different atom mappers:\n", - "1. `KartografAtomMapper`\n", - " * based on the 3D geometries of the ligands\n", - "2. `LomapAtomMapper`\n", - " * based on the maximum common substructure (MCS)\n", + "## 5. Atom mappings and scoring\n", "\n", - "While we use the defaults here, please note that the various supported arguments of\n", - "Lomap and Kartograf can be passed to the atom mapper." + "### Mapping two ligands\n", + "\n", + "In a hybrid topology RBFE, an atom mapping defines which atoms are shared by two ligands (and interpolated) and which are unique (and become dummy atoms). **openfe** provides two atom mappers:\n", + "\n", + "* `KartografAtomMapper`, which maps atoms based on their 3D positions. This is the default.\n", + "* `LomapAtomMapper`, which maps atoms based on the maximum common substructure (MCS).\n", + "\n", + "Let's map `lig_ejm_31` to `lig_ejm_47`:" ] }, { @@ -432,47 +575,18 @@ "id": "f21bf9e5-6cb8-41c1-b0fd-e70ee2e71852", "metadata": {}, "source": [ - "**1. `KartografAtomMapper`**\n", - "\n", - "The `KartografAtomMapper` is based on the 3D geometries of the ligands." + "**1. `KartografAtomMapper`**" ] }, { "cell_type": "code", "execution_count": 6, - "id": "c710a20e-2098-461f-8fa6-5e44b19ad6aa", + "id": "4b0efdac-1443-4f90-84a8-24152f1d044a", "metadata": {}, - "outputs": [], - "source": [ - "from kartograf import KartografAtomMapper\n", - "# Build Kartograf Atom Mapper\n", - "mapper = KartografAtomMapper(atom_map_hydrogens=True)\n", - "\n", - "# Get Mapping\n", - "kartograf_mapping = next(mapper.suggest_mappings(ligand_mols[0], ligand_mols[4]))" - ] - }, - { - "cell_type": "markdown", - "id": "d0be837c-0cf6-4a17-8e44-f548f7c9a314", - "metadata": {}, - "source": [ - "We can also visualize the atom mappings by invoking the individual OpenFE `AtomMapping` objects directly.\n", - "\n", - "Unique atoms between each mapping are shown in red, and atoms which are mapped but undergo element changes are shown in blue. Bonds which either involve atoms that are unique or undergo element changes are highlighted in red." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "56117a03-6503-4317-9364-27e343a4911e", - "metadata": { - "scrolled": true - }, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "" ] @@ -482,34 +596,35 @@ } ], "source": [ - "# We can display the atom mapping in 2D by calling it\n", - "kartograf_mapping" + "ligands_by_name = {ligand.name: ligand for ligand in ligands}\n", + "\n", + "mapper = openfe.KartografAtomMapper()\n", + "mapping = next(mapper.suggest_mappings(ligands_by_name[\"lig_ejm_31\"], ligands_by_name[\"lig_ejm_47\"]))\n", + "mapping" ] }, { "cell_type": "markdown", - "id": "d3f10c24-e50c-46da-b8d5-8de1f3efae90", + "id": "d0be837c-0cf6-4a17-8e44-f548f7c9a314", "metadata": {}, "source": [ - "It is also possible to visualize the mapping in 3D using py3dmol:\n", + "In the 2D depiction, atoms unique to one ligand are shown in red, and mapped atoms that change element are shown in blue.\n", "\n", - "Here, the ``view_3D`` method displays the two end state molecules (left and right), in addition to the hybrid molecule (middle).\n", - "\n", - "Atoms that have the same sphere color in both end states are mapped (i.e. will be interpolated between each other), whilst those that do not have a coloured sphere are unmapped (i.e. will be transformed into dummy atoms in the opposite end state)." + "The same mapping can be viewed in 3D. The two ligands are shown left and right, and their overlay in the middle. Atoms with spheres of the same colour are mapped; atoms without a sphere are unique to that ligand." ] }, { "cell_type": "code", - "execution_count": 10, - "id": "bbcfd2e2-a50e-4398-85d1-f80b01597720", + "execution_count": 7, + "id": "56117a03-6503-4317-9364-27e343a4911e", "metadata": {}, "outputs": [ { "data": { - "application/3dmoljs_load.v0": "
\n

3Dmol.js failed to load for some reason. Please check your browser console for error messages.

\n
\n", + "application/3dmoljs_load.v0": "
\n

3Dmol.js failed to load for some reason. Please check your browser console for error messages.

\n
\n", "text/html": [ - "
\n", - "

3Dmol.js failed to load for some reason. Please check your browser console for error messages.

\n", + "
\n", + "

3Dmol.js failed to load for some reason. Please check your browser console for error messages.

\n", "
\n", "" ] @@ -622,70 +737,190 @@ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 10, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# Visualize the mapping in 3D\n", - "kartograf_mapping.view_3d(show_atomIDs=True)" + "mapping.view_3d(show_atomIDs=True)" ] }, { "cell_type": "markdown", - "id": "2cd43a28-1a2e-496f-bf50-a7358e5323b6", + "id": "ad520da7-bc63-4e1c-bfcb-4beb37c84627", "metadata": {}, "source": [ - "**2. `LomapAtomMapper`**\n", - "\n", - "Alternatively, mappings can be generated using the MCS-based `LomapAtomMapper`. For more information on configuring and using this mapper, see the [ligand network generation cookbook](https://docs.openfree.energy/en/stable/cookbook/generate_ligand_network.html)." + "Under the hood, the mapping is a dictionary from atom indices in ligand A to atom indices in ligand B. Atoms missing from it are unique:" ] }, { "cell_type": "code", "execution_count": 8, - "id": "01384f2a-99ce-400d-a988-82fd393c4ee5", + "id": "98e127ef-8ae2-4546-bf15-3f86997421d2", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "{0: 0,\n", + " 7: 38,\n", + " 12: 12,\n", + " 19: 19,\n", + " 21: 21,\n", + " 28: 35,\n", + " 29: 36,\n", + " 31: 7,\n", + " 1: 1,\n", + " 2: 6,\n", + " 3: 5,\n", + " 4: 4,\n", + " 5: 3,\n", + " 6: 2,\n", + " 8: 37,\n", + " 9: 9,\n", + " 10: 10,\n", + " 11: 11,\n", + " 13: 13,\n", + " 14: 14,\n", + " 15: 15,\n", + " 16: 16,\n", + " 17: 17,\n", + " 18: 18,\n", + " 20: 20,\n", + " 22: 22,\n", + " 23: 23,\n", + " 30: 8}" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "from openfe.setup import LomapAtomMapper\n", - "mapper = LomapAtomMapper()\n", - "lomap_mapping = next(mapper.suggest_mappings(ligand_mols[0], ligand_mols[4]))" + "mapping.componentA_to_componentB" ] }, { "cell_type": "markdown", - "id": "de4592a7", - "metadata": { - "id": "de4592a7" - }, + "id": "2cd43a28-1a2e-496f-bf50-a7358e5323b6", + "metadata": {}, "source": [ - "## 2.2. Creating a ligand network\n", + "**2. `LomapAtomMapper`**\n", + "\n", + "Alternatively, mappings can be generated using the MCS-based `LomapAtomMapper`. For more information on configuring and using this mapper, see the [ligand network generation cookbook](https://docs.openfree.energy/en/stable/cookbook/generate_ligand_network.html)." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "01384f2a-99ce-400d-a988-82fd393c4ee5", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mapper = openfe.LomapAtomMapper()\n", + "lomap_mapping = next(mapper.suggest_mappings(ligands_by_name[\"lig_ejm_31\"], ligands_by_name[\"lig_ejm_47\"]))\n", + "lomap_mapping" + ] + }, + { + "cell_type": "markdown", + "id": "3751c772-506e-4e77-9485-64d1d5441e7e", + "metadata": {}, + "source": [ + "### Scoring a mapping\n", "\n", - "A `LigandNetwork` is a set of `SmallMoleculeComponent`s that are connected by `AtomMapping`s of two small molecules. \n", + "To decide which ligand pairs to simulate, each mapping is given a score between 0 (hardest) and 1 (easiest). The default LOMAP score applies empirical rules that penalize transformations known to be difficult, such as those with many unique atoms or ring changes:" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "f7c2e776-2b6a-42e1-ab54-ff2f3cf58ec2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.33287108369807955" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "openfe.lomap_scorers.default_lomap_score(mapping)" + ] + }, + { + "cell_type": "markdown", + "id": "fc772ed2-f27d-4447-a498-1e8e5c6bc0d2", + "metadata": {}, + "source": [ + "This pair scores only about 0.33: replacing the methyl group of `lig_ejm_31` with the cyclobutyl group of `lig_ejm_47` means 4 atoms disappear and 11 appear. For comparison, `lig_ejm_31` to `lig_ejm_50` differs only by a small substituent change and scores about 0.9:" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "f3174968-f9c9-4d28-9e62-6b7ce5fd4c0d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.9048374180359595" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "easier_mapping = next(mapper.suggest_mappings(ligands_by_name[\"lig_ejm_31\"], ligands_by_name[\"lig_ejm_50\"]))\n", + "openfe.lomap_scorers.default_lomap_score(easier_mapping)" + ] + }, + { + "cell_type": "markdown", + "id": "48456e21-f5f9-411b-94e3-c7a66cfbfde6", + "metadata": {}, + "source": [ + "## 6. Ligand networks\n", "\n", - "The user can choose between multiple different network topologies:\n", - "* Minimial spanning tree (MST)\n", - "* LOMAP network\n", - "* Radial (star) network\n", - "* Loading in networks from external software (FEP+ or Orion)\n", - "* Loading in a user-defined network\n", + "Simulating every possible ligand pair would be expensive, and some pairs would not map well. Instead, a network planner uses the mapper and scorer to select a set of transformations that connects all ligands. The result is a `LigandNetwork`, whose nodes are ligands and whose edges are atom mappings.\n", "\n", - "In this section, we will create and visualize the MST, LOMAP, and radial networks for the TYK2 dataset.\n", + "Here we compare three common network types:\n", "\n", - "Here, we will be using the `KartografAtomMapper` as the atom mapper for all networks." + "* A **radial network** (also called a star map), which connects every ligand to one central ligand. It suits exploring analogues of a single reference compound, but every edge has to go through that ligand, however poorly some pairs map, and the network has no cycles.\n", + "* A **minimal spanning tree** (MST), which uses the fewest, best-scored edges needed to connect every ligand. This is the CLI default.\n", + "* A **LOMAP network**, built with the rules of the [LOMAP](https://pmc.ncbi.nlm.nih.gov/articles/PMC3837551/) planner: starting from the scored candidate edges, it removes edges as long as every ligand stays part of a cycle and no two ligands end up more than six edges apart. The cycles give a consistency check on the results, and keep the network connected if an edge fails." ] }, { "cell_type": "code", - "execution_count": 11, - "id": "5b89da93", + "execution_count": 12, + "id": "de4592a7", "metadata": { - "id": "5b89da93", + "id": "de4592a7", "scrolled": true }, "outputs": [ @@ -2043,34 +2278,6 @@ "INFO:\tCalculate Mapping\n", "INFO:\tFind Maximal overlapping connected sets of mapped atoms\n", "INFO:\tFiltering bond breaks\n", - "INFO:\tTrying to remove edge 0-2 with similarity 0.8187307530779818\n", - "INFO:\tChecking edge deletion on distance-to-actives 0 vs 0\n", - "INFO:\tRemoved edge 0-2\n", - "INFO:\tTrying to remove edge 2-6 with similarity 0.8607079764250578\n", - "INFO:\tRejecting edge deletion on cycle covering\n", - "INFO:\tTrying to remove edge 0-1 with similarity 0.9048374180359595\n", - "INFO:\tRejecting edge deletion on cycle covering\n", - "INFO:\tTrying to remove edge 0-6 with similarity 0.9048374180359595\n", - "INFO:\tRejecting edge deletion on cycle covering\n", - "INFO:\tTrying to remove edge 1-2 with similarity 0.9048374180359595\n", - "INFO:\tRejecting edge deletion on cycle covering\n", - "INFO:\tTrying to remove edge 1-6 with similarity 0.951229424500714\n", - "INFO:\tChecking edge deletion on distance-to-actives 0 vs 0\n", - "INFO:\tRemoved edge 1-6\n", - "INFO:\tTrying to remove edge 8-3 with similarity 0.9048374180359595\n", - "INFO:\tChecking edge deletion on distance-to-actives 0 vs 0\n", - "INFO:\tRemoved edge 8-3\n", - "INFO:\tTrying to remove edge 9-3 with similarity 0.9048374180359595\n", - "INFO:\tRejecting edge deletion on cycle covering\n", - "INFO:\tTrying to remove edge 3-7 with similarity 0.9048374180359595\n", - "INFO:\tRejecting edge deletion on cycle covering\n", - "INFO:\tTrying to remove edge 8-7 with similarity 0.951229424500714\n", - "INFO:\tRejecting edge deletion on cycle covering\n", - "INFO:\tTrying to remove edge 8-9 with similarity 0.951229424500714\n", - "INFO:\tRejecting edge deletion on cycle covering\n", - "INFO:\tTrying to remove edge 9-7 with similarity 0.951229424500714\n", - "INFO:\tChecking edge deletion on distance-to-actives 0 vs 0\n", - "INFO:\tRemoved edge 9-7\n", "INFO:\t#################################\n", "INFO:\tMap Heavy Atoms \n", "INFO:\t#################################\n", @@ -2205,7 +2412,44 @@ "INFO:\tBuild Distance Matrix\n", "INFO:\tCalculate Mapping\n", "INFO:\tFind Maximal overlapping connected sets of mapped atoms\n", - "INFO:\tFiltering bond breaks\n" + "INFO:\tFiltering bond breaks\n", + "INFO:\tTrying to remove edge 0-2 with similarity 0.8187307530779818\n", + "INFO:\tChecking edge deletion on distance-to-actives 0 vs 0\n", + "INFO:\tRemoved edge 0-2\n", + "INFO:\tTrying to remove edge 2-6 with similarity 0.8607079764250578\n", + "INFO:\tRejecting edge deletion on cycle covering\n", + "INFO:\tTrying to remove edge 0-1 with similarity 0.9048374180359595\n", + "INFO:\tRejecting edge deletion on cycle covering\n", + "INFO:\tTrying to remove edge 0-6 with similarity 0.9048374180359595\n", + "INFO:\tRejecting edge deletion on cycle covering\n", + "INFO:\tTrying to remove edge 1-2 with similarity 0.9048374180359595\n", + "INFO:\tRejecting edge deletion on cycle covering\n", + "INFO:\tTrying to remove edge 1-6 with similarity 0.951229424500714\n", + "INFO:\tChecking edge deletion on distance-to-actives 0 vs 0\n", + "INFO:\tRemoved edge 1-6\n", + "INFO:\tTrying to remove edge 8-3 with similarity 0.9048374180359595\n", + "INFO:\tChecking edge deletion on distance-to-actives 0 vs 0\n", + "INFO:\tRemoved edge 8-3\n", + "INFO:\tTrying to remove edge 9-3 with similarity 0.9048374180359595\n", + "INFO:\tRejecting edge deletion on cycle covering\n", + "INFO:\tTrying to remove edge 3-7 with similarity 0.9048374180359595\n", + "INFO:\tRejecting edge deletion on cycle covering\n", + "INFO:\tTrying to remove edge 8-7 with similarity 0.951229424500714\n", + "INFO:\tRejecting edge deletion on cycle covering\n", + "INFO:\tTrying to remove edge 8-9 with similarity 0.951229424500714\n", + "INFO:\tRejecting edge deletion on cycle covering\n", + "INFO:\tTrying to remove edge 9-7 with similarity 0.951229424500714\n", + "INFO:\tChecking edge deletion on distance-to-actives 0 vs 0\n", + "INFO:\tRemoved edge 9-7\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Radial network: 9 edges\n", + "MST: 9 edges\n", + "LOMAP network: 14 edges\n" ] } ], @@ -2217,28 +2461,32 @@ "from openfe.setup.ligand_network_planning import generate_lomap_network\n", "from openfe.setup import KartografAtomMapper\n", "\n", + "# Create a radial, choosing the first ligand as central ligand\n", + "radial_network = generate_radial_network(\n", + " ligands=ligands[1:],\n", + " central_ligand=ligands[0],\n", + " mappers=[KartografAtomMapper(),])\n", + "\n", "# Create an MST network\n", "mst_network = generate_minimal_spanning_network(\n", - " ligands=ligand_mols,\n", + " ligands=ligands,\n", " scorer=openfe.lomap_scorers.default_lomap_score,\n", " mappers=[KartografAtomMapper(),])\n", "\n", "# Create a LOMAP network\n", "lomap_network = generate_lomap_network(\n", - " ligands=ligand_mols,\n", + " ligands=ligands,\n", " scorer=openfe.lomap_scorers.default_lomap_score,\n", " mappers=[KartografAtomMapper(),])\n", "\n", - "# Create a radial, choosing the first ligand as central ligand\n", - "radial_network = generate_radial_network(\n", - " ligands=ligand_mols[1:],\n", - " central_ligand=ligand_mols[0],\n", - " mappers=[KartografAtomMapper(),])" + "print(f\"Radial network: {len(radial_network.edges)} edges\")\n", + "print(f\"MST: {len(mst_network.edges)} edges\")\n", + "print(f\"LOMAP network: {len(lomap_network.edges)} edges\")" ] }, { "cell_type": "markdown", - "id": "41cd9718-0c2e-4b59-86ee-8dc429915de1", + "id": "7f5b9679-3351-4918-8fdd-59ae027ac64e", "metadata": {}, "source": [ "We can plot out the different networks to visualize their structure and to see how ligands are being tranformed." @@ -2246,26 +2494,15 @@ }, { "cell_type": "code", - "execution_count": 12, - "id": "f4e3ac10-236b-4ff4-a69e-600706288164", + "execution_count": 13, + "id": "9d733974-5ee4-4f7d-8482-9ba23961b6f2", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -2273,60 +2510,51 @@ } ], "source": [ - "# Visualize the MST network\n", - "from openfe.utils.atommapping_network_plotting import plot_atommapping_network\n", + "import konnektor\n", "\n", - "plot_atommapping_network(mst_network)" + "radial_figure = konnektor.draw_ligand_network(radial_network, title=\"TYK2: radial network\", node_size=5000)" ] }, { "cell_type": "code", - "execution_count": 13, - "id": "3335c478-ce7c-41a4-b36f-2e4c79581050", + "execution_count": 14, + "id": "de7946c6-9fcf-4abc-9fdc-49b708dc0436", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, - "execution_count": 13, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ - "# Visualize the LOMAP network\n", - "from openfe.utils.atommapping_network_plotting import plot_atommapping_network\n", - "\n", - "plot_atommapping_network(lomap_network)" + "mst_figure = konnektor.draw_ligand_network(mst_network, title=\"TYK2: minimal spanning tree\", node_size=5000)" ] }, { "cell_type": "code", - "execution_count": 14, - "id": "e1c09036-efc7-4bc4-9851-ac16992bf041", + "execution_count": 15, + "id": "454fb43b-2f3d-47eb-8f63-8850894a3ef9", "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, - "execution_count": 14, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ - "# Visualize the radial network\n", - "from openfe.utils.atommapping_network_plotting import plot_atommapping_network\n", - "\n", - "plot_atommapping_network(radial_network)" + "lomap_figure = konnektor.draw_ligand_network(lomap_network, title=\"TYK2: LOMAP network\", node_size=5000)" ] }, { @@ -2334,14 +2562,20 @@ "id": "2a280ffb-0a71-48ad-b4ec-9374f4460c80", "metadata": {}, "source": [ - "Edges along the network can be accessed to recover the individual molecules involved in a given alchemical tranformation and the atom mapping between the two ligands. \n", - "\n", - "**Note: as can be seen in the example below, transformations are defined within OpenFE as going from componentA to componentB**" + "`lig_ejm_47` and `lig_ejm_48` have no high-scoring partner in this series, so in all three networks they are connected only through lower-scoring edges. Edges like these are worth checking closely once the results are in." + ] + }, + { + "cell_type": "markdown", + "id": "67b5f25b-f459-4fe9-9657-50d4ca679b90", + "metadata": {}, + "source": [ + "Each edge holds the two ligands and the mapping between them. Transformations are always defined as going from `componentA` to `componentB`:" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "id": "ad80c243-82d7-4599-a4a6-5d651c662f24", "metadata": {}, "outputs": [ @@ -2349,40 +2583,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "molecule A smiles: CC(=O)Nc1cc(NC(=O)c2c(Cl)cccc2Cl)ccn1\n", - "molecule B smiles: O=C(Nc1ccnc(NC(=O)C2CCC2)c1)c1c(Cl)cccc1Cl\n", - "map between molecule A and B: {0: 0, 7: 38, 12: 12, 19: 19, 21: 21, 28: 35, 29: 36, 31: 7, 1: 1, 2: 6, 3: 5, 4: 4, 5: 3, 6: 2, 8: 37, 9: 9, 10: 10, 11: 11, 13: 13, 14: 14, 15: 15, 16: 16, 17: 17, 18: 18, 20: 20, 22: 22, 23: 23, 30: 8}\n" + "A: lig_ejm_46 O=C(Nc1ccnc(NC(=O)C2CC2)c1)c1c(Cl)cccc1Cl\n", + "B: lig_jmc_28 C[C@@H]1C[C@@H]1C(=O)Nc1cc(NC(=O)c2c(Cl)cccc2Cl)ccn1\n" ] - } - ], - "source": [ - "mst_edges = [edge for edge in mst_network.edges]\n", - "\n", - "# Pick an edge\n", - "edge = mst_edges[1]\n", - "\n", - "# Print the smiles of the molecules and the mapping\n", - "print(\"molecule A smiles: \", edge.componentA.smiles)\n", - "print(\"molecule B smiles: \", edge.componentB.smiles)\n", - "print(\"map between molecule A and B: \", edge.componentA_to_componentB)" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "9f92262f", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 317 }, - "id": "9f92262f", - "outputId": "d8dc47c7-c487-4f78-9e19-c388ef6a7c51" - }, - "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "" ] @@ -2392,45 +2599,12 @@ } ], "source": [ - "# We can display the atom mapping of an edge by calling it\n", + "edge = next(iter(mst_network.edges))\n", + "print(\"A:\", edge.componentA.name, edge.componentA.smiles)\n", + "print(\"B:\", edge.componentB.name, edge.componentB.smiles)\n", "edge" ] }, - { - "cell_type": "code", - "execution_count": 17, - "id": "66dd7d32", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 317 - }, - "id": "66dd7d32", - "outputId": "13a421f2-ce17-49c6-aac0-e3c157d59a91" - }, - "outputs": [ - { - "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlgAAAEsCAIAAACQX1rBAAAABmJLR0QA/wD/AP+gvaeTAAAgAElEQVR4nOydZ1xTydfHJ3QIIIiAICiIiqKuUoRFUCwoomAH3VWwY1lFrLiuinUX1oaiNEVBwQIqUmwLFlBE6aBUCU06oUhJSL3Pi9nNkz8gUpIbJfP9+OKS3Dvn3Jjc38yZc2YIGIYBBAKBQCCEFRFBO4BAIBAIhCBBQohAIBAIoQYJIQKBQCCEGiSECAQCgRBqkBAiEAgEQqhBQohAIBAIoQYJIQKBQCCEGiSECAQCgRBqkBAiEAgEQqhBQohAIBAIoQYJIQKBQCCEGiSECAQCgRBqkBAiEAgEQqhBQohAIBAIoQYJIQKBQCCEGiSECAQCgRBqkBAiEAgEQqhBQohAIBAIoQYJIQKBQCCEGiSECAQCgRBqkBAiEAgEQqhBQohAIBAIoQYJIQKBQCCEGiSECAQCgRBqkBAiEAgEQqhBQohAIBAIoQYJIQKBQCCEGiSECAQCgRBqkBAiEAgEQqhBQohAIBAIoQYJIQKBQCCEGiSECAQCgRBqkBAiEAgEQqhBQohAIBAIoQYJIQKBQCCEGiSECAQCgRBqkBAiEAgEQqhBQohAIBAIoQYJIQKBQCCEGiSECAQCgRBqkBAiEAgEQqhBQohAIBAIoQYJIQKBQCCEGiSECAQCgRBqkBAiEAgEQqhBQohAIBAIoQYJIQKBQCCEGiSECAQCgRBqkBAiEAgEQqhBQohAIBAIoQYJIQKBQCCEGiSECAQCgRBqkBAiEAgEQqhBQohAIBAIoQYJIQKBQCCEGiSECAQCgRBqkBAiEAgEQqhBQohAIBAIoQYJIQKBQCCEGqEQwrq6uujoaAqFUlJSUlxcLGh3EAgEAvEdIRRCWF1draWldfv27by8vBcvXgjaHQQCgUB8RwiFEE6cODEyMlJbW9vU1FTQviAQCATi+0IohDAmJmbIkCFkMjk+Pj4lJYXJZAraIwQCgUB8LxAwDBO0D3jAYDDExcUF7QUCgUAgvjuERQgRCAQCgeiSgR8aZTAYFRUVnD/Ly8tZLJYA/UEgEAjEd8XAF8LS0lJ7e3vOnwsXLqyurhagPwgEAoH4rhATtAMIRHfExMRkZ2dPmzYtKytLVlbW1tZWSkpK0E4hEIgBhVAIYWNj46NHj+Bxc3OzYJ1B9Io5c+bo6+uHhobW1NTo6OiIiooK2iMEAjHQEAohpFAoHz9+hMdUKlWwziB6RWtra2Bg4NatW6WkpN68eRMfHz979mxBO4VAIAYUQiGEw4YNc3V1hcd3794VrDOIXnHv3j1JSckPHz6UlpY21NWu0Bvd/OC2iLyCtNHPogqKgvYOwUeSk5MTEhJcXFwuX77MZDK3b9+O4gEIPiEUQoj4cVm7di080KsqqQ/1+wJEMCadIC6BMRiD7B0G79hPEEXf4YHJlClTXr9+XVxcTCQSlZWVU1NTjY2NBe0UYmAy8LNGFRQUVqxYwflz1apVsrKyAvQH0QeaQq7VnDnhTapkt7VgNBq7teVhFTkv+HrtwZ2Cdg3BX8TExBgMBpPJRAtiIPjHwBfCIUOGODs7+/j42Nvbv3z5cs+ePYMGDRK0U4hewKypavQ+zaK2Bde1cF582kSpam2jvH1FeRsnQN8Q/KOgoADDMCiBNTU1kydPFrRHiAGLsISVEhMTw8LCbG1tBe0Iote0Po3A2F2vf8SmUL7cDZKZaoGzSwgcGDNmzJ49ewAA2tragvYFMcARFiGk0+kAAAkJCUE7gug17XnZGJ0GAGhisbYV1cIXM9to8IBOKhCYZwgEYkCAhBDxvSMqJQMP5EVFTg1Xgsf7SsnwQEQS1dcPZL58+XLixIn09HQVFZVt27ZNmzZN0B4hBiADf44QgoTwx0XaZKqIDBEAIAIIimKi8J84gQAAIIiJSZuYCdpBBL/AMGzevHkTJ0588uTJkSNHtm3blpKSIminEAMQ4RJClHj2I0KcZS1CJAICofNbBHFxhdWb8HcJgQ/JyckyMjJr1qyRkJAYN27coUOHvL29Be0UYgAiLELIYDAAGhH+mBAkJNQuBkrIyt0Yp8558bCm0thBsspuZ8TUNfhqvampKTk5mcVipaampqamtre389UcgpuSkpJRo0Zx/hw9enRJSYng3EEMWIRFCFFo9IdGYsy44WH/TLJdQpCSJkhIADHxEVpackpDiDPm8MoEm0qpv3ymZO4UkqF20c+6FZtWtmemAADS09PLysqePHmiqKgYHR3NZDJ5ZfEHgsFgHDly5MiRI2w2G0+7ysrK9fX1nD/r6upUVVXxdAAhJCAhRPwYiKkMVTnpOTIhRysmReddvkZwFJtKbb4fwpPGWQ31n+3n5V33ZdaTAQAYg16d/I60eXXTncCZM2e2trbq6upqamoqKSkJ52oMYmJipaWl9fX1IiK4PjGMjY0zMjKKiooAACwWy8/Pb/HixXg6gBAShCtrFM0RDgBEZOUAACLygxTXbG68clHOZhl8pT/U7N/Kqq22/1AaozdMUoQAAPCrbhotJb7c6+/rH/KoRHkpKal79+4tWrSIBzfwA1JcXAw7BNXV1UOHDsXNLpFIDAoK+vXXXwcPHlxXV2dlZcW9tygCwSuEZUSI5ggHHoN+XUeQkm4K8utnO7T8bFp+Nsakd36LTWuf/vnTypUr5eXlra2tNTU1+2nrB2XkyJFEInH48OF4qiDEzMzs3bt3YWFhSUlJ9vb2u3fvvnr1Ks4+IAY8wiKEKDQ68CBISA7eurspJIBZXdmfdtrTkgCTDQABAJDQQo1vpsY3Uz/TmAAAgGGDi/JGjhw5aNAgBQUFnrj9g2JnZ7dw4UKBmD58+LCpqWlJSQmJRPL09Lx165ZA3EAMYJAQIn5g5OYvkdAe1eDn2Z9G2O1UNpMBj7MpdPivnsn6911GFyNFBAAgOzsbH0MfPnz48OFDfHy8hYWFiIjIu3fvaDQaPqYRQgK/hNDf3//06dN1dXV8ar+3ICEcmIiIKLn83hJ9n5bf94eyxHBtgqQkPHZSHbR16KCtQwdNJv77ipiqGg/8HBC8fft25cqVs2fPdnNzo9PpixYtYrFYONi1sLAAAMTFxQ0ePFhPT49KpSYnJ+NgFyE88EUI2Wx2VVWVnZ3do0eP+NF+H0DJMnyltrbWy8vrzz//TE1NDQwMDA4Oxs209JSpMsZmDZfP9O1yZnVl28tnGJXS5bsEKWn55av74d3A4cOHDw4ODvv374+KilJXV8ezno8jhB2OEQhewRchFBERYbPZLS0tnFzzmJiY2tp/l0suKipKTEzkh91uQMkyfEVFRWXHjh0MBsPQ0BDDMEJXq8DwDyWXg5TEeOr7hF5dxaZQGvw8y5bOphXkKq7bSpCSXq4kK/af40aykqPkiOLDNBVWruW5wz8iAQEBLi4uBgYGMjIymzdvHjNmDG6mJ02apKCgUFRUVFZWhoQQwQ/4FRqFuV6c2XVvb+/CwkJ4nJSUdOfOHT7Z5SYpKcnX1/fevXsAhUb5DIvF8vHxcXBwqK6uXrt2bUEBrjtCSIweKzd/MdnzFOhZuTfGZDY/uF22aHpLROiQvUc07zwevH2/6olzLqOHi8vKEyQlCVLSlqpKprMth127R0DfGQAAAGVlZaNHjxaIaVFRUTMzMwDA69evLSwsCARCQkIC/EXjxuvXr1+8eAGPW1pazp8/D4/z8/OPHTuGYdiVK1f++usv2OFG/HDwSwjnzp27adMmwQqPsbHxxo0b4UMZfkHxD41iGJaYmHj//n0SiQQA2LRpU0NDA84+4ACJRGIymW/evKHT6QEBAY6Ojjg7MPi3fYyyktZnkd84D8NaYx9/XmZZ7+WhsGrj8Icv5Zf+AkREAQDEWfO0YpJUTp4fvG3vkL1HNG89Gup5tf8VigMGZWVlMpksKOucgaCKioquri6FQklLS8PTgdTU1Pfv38Pj1tbWoKAgeKyrqysnJ0cgEDZs2KCgoNDU1ISnVwhegV9B/eXLl8PDwwEAeXl5I0eOxMFie3u7r6+vk5MTnU7HMExcXBznkB2TybSxsVFUVDQ0NLx48eKpU6c+fvyIc08WH8aMGcOJlW3cuJFPVl6/ft3a2mptbY1h2IMHD5YtW8Z5S0xl6KAVjvVefzMb6ts/ZhIIBGmDKbLzFnErWXtWWr3nX7ScTDnb5YO37RVVHNyhfYKEJHH6bD45/6OzYMGCM2fOLF++XEpKislk4rzETIdpwry8vLi4uJ9//hlPH7onOztbRkZGWVlZ0I4g+gJ+Qjhz5syJEycCAGJiYvDJJn3z5g2BQHj37l1eXh6RSAQA3LhxA8/Byu3bt+Xl5W/fvg0AcHFxERMTlnV8bt68+eTJEzExsYULFy5fvpwnbWIYpqiomJKSMmXKlH/++ScxMZFbCAEAkiPHfKmpbvDywBgMAEBbfEz9RQ/Vv7xkzGYwSkgNPudaXzyVnTVP5X6s+LDhPHFJqFi4cGFWVpaxsbG6unpDQ8OdO3dERUVx61kaGBjIyckVFBRUVlZaWFj4+fnFxcW5urriYx1y8+ZNmNzAXbxRWVmJYVh6enpkZKSenl5jY6OioiKeXiF4An6PZj09PRMTEwBAcXFxXV1dREREcXHx9u3b+ScPs2bNqqqq+u2338rKyuAra9asuXnz5qVLl3R1dflklJvU1NS5c+fCY+FRwVOnTmVnZ7u7uzMYDGdn59ra2m3btvW/WQKBMGbMmAcPHjAYjNTUVHFx8S9fvgwaNAi+S019V/vXIQxg4L9JGoxKxQCo2reVOHU6Jf65lIGJxs0IybET+u+J0HLo0KFDhw7V1tamp6dra2vn5+fjZlpMTGzq1KnPnj17/fr1jBkzAABv3rxhMpl4/qzs7Ox27doFAKipqVmxYgV8UV1dfc+ePQAAfX193DxB8BzBFNQzmczt27fv2rXLyMjo7du3/DARGxtrZGTk6OhYVlamp6cXGRkZFBSkrKwcGxs7ceLEnTt3tra28sMuhE6nU6lUNpuNczD2e+DSpUu+vr7Dhw/X0dG5cuXK2bNnedIsnU5fv369lpYWg8H49ddfpaT+Z2P62uOuWDu1i8to7ZSEOJU/L6r7hiAV5AmGhobz5s3DUwUhnOiompraqFGjWlpaMjIy8HRASkpKQUFBQUFBXl4eT7sIHMBJCH///fexY8fC42nTpm3ZsiUwMFBXVzczM9Pc3NzR0ZFTXNF/cnJy7O3t58yZk56erqGh4efnl5WVZWtr6+jomJ+f7+zszGKxLl68OG7cuLCwMF4Z5YBhWFhYmJ6enoeHx8SJExMSepfT/6PT0NAgIyPDeVKoq6s3NTXBrYs+ffrUn5YlJCSCg4MdHR2HDx9uaGj4559/coaDjM+l7Prugu3SBsb9MY3gZurUqQCA+Ph4nO1yTxNOnz4dNx9yc3NjY2NxMIQQJJjgoFAobm5usGuvqKjo6enJZDL70+Dnz5+dnJxERUUBALKysm5ubhQKBb5Fp9MdHR1TU1MxDIPzTPD2bWxsioqKeHAzGIZh2KtXrzgtm5iYUCgUIyOjffv2RURE/PXXX5mZmT///HNVVVUPW0tKSsrOziaTyVeuXOGhk3yFwWCoqKhw/qTT6crKyhiGxcXFiYiIODg41NbW8twoJSWxaPpPhQZaXf4rmv5Te04Wz40KLZcvXwYA/PrrrzjbpdPpRCKRQCDU1NTApM2FCxfy22h6erqysrKMjMyLFy/IZDJ8kcFg/Ci/R0QPEaQQQj59+jRv3jwoHgYGBu/fv+9DIy0tLW5ubtLS0gAAcXFxJyenmpoa7hMuXrwIABAVFd2+fXtTUxPc2wwOKaSlpd3c3Nrb2/tzF7m5uXZ2dvAu1NXV/fz8GAwGhmHt7e2hoaGnT5++d+8elUoNDw/naPM3SU5Ovnr1alFREZ1OP3z4cH/c6y3R0dFZWVlVVVU+Pj55eXm9utba2vrhw4fwOCAgYPXq1RiGeXt7S0pKAgCUlJT8/f1ZLBYPvaV9yiOZj/+qEE4dx6j4zENzQs7Hjx8BAGpqavibnj17NgDg3r17cNZfQUGhn13n7klJSVFSUgIAWFtb9/xni/gREbwQQiIjI4cPHw4AgOMGTufrm9DpdD8/PxUVFQAAgUCws7MrLCzsfFpbW5ubmxusaxw6dGhQUBBcB87BwQFO440aNerp06d98Ly2ttbZ2RlO2hOJRFdX1+bm5j6005mmpqarV69iGBYbGxsbG8uTNnvIx48fg4OD//zzTzqd7ubm1qtri4qKzM3NFy9ebGNjY2lpWVVVVVpaiv1vj8fQ0LBvPZ4uoRcVkkxGf00Ii+eZ8soQAsMwNpsNf25d/tD4yvHjxwEAO3bswDBsxIgRAICMjAw+2YqPj4cRfltb2372khHfP9+LEGJf0apuzmez2aGhoTo6OvDZampq+ubNm+5N5OXlWVpawvOnT5/+4cMHDMNevXo1fvx4TqS0rKysw1UfP368c+dO5x9Da2uru7u7nJwcZxjaTdjz4cOHHh4eHz9+PHHihJubW08ihLdu3dq4cWNERISjo+Pjx4+/eT4Pqa6uDg4OLiws9PPzc3Fx6UMLZDK5oaEBw7CysjJZWVkbG5uSkhKsHz2eLmE2NZAvupN+HlO60KLIdOz/SuCIQgOtIjO91udP+mMC0ZmlS5cCAAICAnC2++rVKwDApEmTMAyDdVAXLlzobSM0Gq21tRXDMPj97JKXL1/C5SFXrlwJQzuIgc13JISQLrWqM2/fvoWrLgEAxo4dGxoa2sP22Wx2UFAQ7NKKi4s7Ozs3NzfT6XRPT0/41ScSiW5ubjQajXNJYWHho0eP4uLiOK8wGAw/Pz/OJqWWlpZf85NDW1vbb7/9lpWVdf78+czMzPv37/fQYYEQFBS0c+fO/Px8b2/vV69e9aepiIgI+MHKysqePn2aTqe3trb2qsfTJWwqpfG6T9H0iaVLZrXEPMLY7Hrvs0VTxxUaaUMhJBlqkQxH1l+73B/nEV1y4cIFAICjoyPOdtvb26WkpERERMhkckBAAABg6dKlvW3Ex8cnODg4LS0Njiw7Ex0dDRMXNm3axNsYPuK75bsTQuwrWsV592uzcb2isbHR2dkZptWoq6sHBQVhGFZeXu7g4ABb/umnnzjjSwqFcvz4cU4QJiYmZsKEfxPxjY2NuQWyGyorK9PS0kJDQ48ePfr48eNvDl4HEhUVFZwPdsyYMTExMRiG5eXlwSmf7ns8XcBiNUfdL7EyKZ6l33TrGpv5///77dlZNX/sLF08s2zJrKr924pMxzY/vMuPOxJyYN2CpqYm/qZhvujVq1dh9Z6SklJvtQpGOzAMO3v2bOd37969Cxdi3Lp1K1JB4eF7FEJIZ63i+WxcWloaZ5WmWbNm5ebmYhgWGxsLy+0JBIKDg0NNTc2DBw/c3d1TUlLev38Pf4fwgR4aGtrzoczbt2+vXbtGpVLfvHkTFhb2zQsrKio4QVo6nZ6WltafO/0eePHixbhx4+CnZ2dnV11d3X2Pp0so796UrZhHmjqOfNGd1drS/cn13mdKrEzYVJTmwGNYLBbMIoHhbjw5fPgwzHoD/7F69eqYmBjuEE73pKennzt3rqmp6Y8//mhqauJ+KyQkBD5eXF1d+eA74vvl+xVCSFJSkpGREfzGw2CauLj4tm3bOiSF9hkWixUUFDRkyBDYvqurK5VK7VzXkZOTY2dnB9NqlJSU3N3d+T1/7unpeerUKXhcVVUF50XwgUQi5efnw+P29vYXL17wqmUYgobL3SkoKMCCmS5H551pz86qcPql0GhkzeFdzLoe/e+z2tqK50xpCLjEK/8RHODGMjdu3MDZLme1a1FRUZglDlFUVFyxYkVQUNA3nwzZ2dkpKSm1tbUpKSncJ/v6+sIFVJEK9oH6+no4gK6oqOjDTIfA+a6FsK2tzdfXt62tLSgoSE5OTklJydzcvBcxtB5TX1/v7OwMfwY6OjqPHj3CMKygoICzQBp8TBOJxEOHDvEqKbR7BCiEFy9ePHnyJDyurq6eOHEib9snkUjz58+HH6y+vn5iYiKGYampqZ1H5xBGVUXtyd8LjUZWbF1F+9S7Wo6mu0FF5uOZ9XW8vQXEmTNnAAAbNmzA02hOTo6amhoAwNzcvKioKDU19fXr166uroaGhoALPT09V1fX169f9zy2eenSJQKBQCAQuoyXIrqnvLw8LCzs4MGD8fHx4eHhfchgEjjftRC2trZevnwZJneNGjUKAFBQUMA/c/Hx8XBZcAAAd5ajgoKCoqKitbU1noEgT0/PpUuXXr169erVq+fOnRtIQgiJjIyEGfAwBF1XV9d5dE6prSZfdCf9rPvZYSElJbEPVthMRtkyy7q/3XjtvrCTnJwMABg1ahRuFtPS0uDeDjNmzGhpaTl8+HB4eDjss2IYVlRU5OfnZ2dnx9kMHAAwZMgQOzu7oKCgDgmiTU1N1dXV8JhCoeTm5iorK4uIiPj4+OB2OwOM2NhY2HHPz8//WlDne+a7FkIMw65duwa/xPChWVxcnJqa6uTkxKevLJ1OP3PmDPwtaWtrw3JdOGXY27ryfuLp6bl8+fLAwMDAwMALFy7gLIRWVlYeHh4eHh6HDx/mkxBi/xXMwEL7wYMHe3p6slismpoaR0dHCRGRtSryBWZ6JfOnNkfdx/oRbGl9/oRkPIpeWsw7xxEYk8mE61GUl5fjYC45OXnw4MEAgPnz58Padm9v70uXLl28eLHDmRQKJSYmxtXVlbOmI4zoGBoaurm5paSksNnss2fPKioqwrjoy5cvV69enZaWdvPmTRxuZEBSWlqamZnp6uqakpLi5ubGq3krPBHMots9pLW1NS0t7eXLl+C/nXUlJCQKCgr8/f3hkoM8R1xcfM+ePTAx9ciRIzAiKqjd7fX19desWbNmzRp7e3ucTauoqOjp6enp6XF2GeQHMjIyR48ezcrKmjNnTkNDg4uLi4WFRU1NTUtL8wK1IXu1h6ps3zf84Ss5m6WgH2uXE2fNkxw/ueHyaR56jhAVFcVt0dH4+PhZs2Y1NDQsXLjwwYMHcGrQ1NSUTqfDBUi5kZaWtrS0dHd3z83Nzc7OPn369MyZM0VERFJTU48dO2ZkZKSnp4dhmKGhIcw7hejr669evZrfNzJQUZeRaq6u2rNnj7S0tLm5OT677PGW73pvIFlZWS8vL3jMUSMcZElDQyM0NJTzp6CEUIDo6ura2NgAAGpqav7++2++2hozZsw///wTFRW1bdu2N2/eGBgYSEtLE9upn718xi9ZyhMTSrv/qFi7dFBmqtQkw2+fjegZFhYWT548iYuL++WXX/hn5enTp0uXLqVSqb/++mtQUBBn36URI0asXbu2+83/YGdu7969bW1tL168iI6Ofvz48ahRowgEwsKFCyMjI1+8eIHzDsMDCYxOa/C/0BwWjDEZ6mysTU5efd02vRWO4Af8SH8YjzsIIaz1wdM0nhYBAGZmZjNnzoTHcnJyO3fuxNM6/tja2n78+HH79u0YhrW0tFQzmJpjeLZnpNSEycSZVvWefwIM41WbQkt7e7u/v//Lly+5t4PgE9HR0UuWLKFSqU5OTjdv3uTefVBRUbHnW+ASiURbW1s/P7+ysjJO3qmXl9euXbsY/21giegVbAql3GFR2jW/1uYvWHs7RqfV1VRnnTtVvWsDYLME7V2v+fGEkBMjxc00/hYBAEZGRqampkuWLJkzZw6dTl+3bh1upmfNmrVgwQJ4LC8vf/ToUX5YaWtru3DhwpEjR3Jzc729vX19fQcNGuTl5ZWUlARXrePtB660fT8tJ6stLoaHbQonZWVlCgoK06ZNMzIykpOTy8/Pr6mp4Yehu3fvLl26tL29fdu2bZzahn5CIBDgXCMAYOzYsQsWLLh06VL/mxVCyH8fYZSVuBdVf6L+25N43UwNKqulpiQ13rzahwZra2sDAwM/fPiQmZn5+PFjnjr7bX4wIRQXF8c/UCnA0GhcXBz+e6GNHz9+8uTJ5ubmRkZGFAoFLizJc4hE4s6dO0VFRceNG7d582YymQxfNzAwgI8q3n7g4iO05Zf8Un/RA2MyedisEKKioiInJ3fkyBExMTF9fX0Mw06cOMHD/UQhISEhq1evZjAYrq6uly9f5tMG14cOHcrMzORHywMbdvOX1mfRGJ3WxVvtlC+BPn0IvWAYNnfu3EePHg0bNiwvL48XbvaC73qOkAOLxWKz2aKioqKiokIlhAKJykJyc3MbGhr49ACChISEwKX9fX19nZycOK/z6QNXdNrZEn2/eud6RuVndmurmJq6/KIVcovsCWI/xq/gO6GpqamkpERJSamgoCAnJ0dDQ+Py5cs+Pj76+vqWlpY2NjZTp07t5+jN19f3t99+Y7PZR48edXNz45XnHKZMmQLz4GRkZG7cuFFVVcVzEwMbWt5HgoQkFMKXzdRP7QwAQHobjShCAABgDAazpkpsqHqv2lRVVY2Pj5eTk4MFVDjzY4wIuZ+MOMsSm81mMpkEAkFMEI9LgWsw/0xXVVWRyeSUlJSsrCxxcfGEhIQOpnku/4zPxQDDqKmJjLISVgOZlp1FPn+q/NcF7OYm3hoa2GhpaW3dutXKysrCwoJMJsvLy8+ZM0dCQiI1NdXDw2PatGnq6urr1q0LCwtraurRBxsaGvr582fOn6dPn962bRuGYefOneOHCgIApk2bBlNez58/f/DgQc7Kf4gegjHoAHx9zEcgYL2fec3MzCwoKJCTk0tISMjNza2srOyXi73kx+gLcz+U4YwdboMkgUwQQjAMYzKZQEAjQn4LoZqaGicDyNjYmN+mWfV1VTvWxdc2RDa2/T3i3y6naVJ+ogGzereT+tXQ7i9HcJOenj537lwymTxjxoyoqChZWVkqlZqQkBAbG/vw4cP8/HxY/yoqKjp58mQbGxtbW1sDA4Muowt5eXkZGRkjRozQ1NQEAHh4eBw4cIBAIFy8eHH79u38vpGMjIyEhIRXr1799NNP/BTV7iYAACAASURBVLY1kJAYOYYjdTPlpScRJQEA4gSQTaEDADAWU0xtWM9bY31ppLx+oVlepqWgKD3lZwmdMZydhXDjRxoRQj3AeZAkwDEZ3FVDQkKCr/HJbqwDAWkwPzofjYG+MJLD5urIsjCAMWjtedntGSk8tDWwSU5OtrS0JJPJCxYsePLkiaysbFpa2rVr13R0dNzd3fPy8kgkkqenp6WlpaioKKd6T01NzdHRMSwsrLm5mbu1kydPysjIFBUVAQCOHDly4MABUVHRa9eu4aCCAAAcEl8HJGJqwyTGjCN0FQAnSEjKzVvc8+mGppBrZfPNyB5ujVcukj3dKxwXV+/cwG5r5am/3+bHEELuJyPO02YCD04KSoowDBMXFxeIBvPjM6fExcI+LIXNLqMx4T82AAAQAJ1GeYsehT0iPj5+9uzZDQ0N9vb24eHhcGH64ODg7du3jxw5UkdHZ/PmzdnZ2Vu2bImJiWloaIiMjHRyctLQ0Kipqbl586a9vT1cMdjDwyMnJwcAcOnSJXNz85EjR+7atevEiRMSEhJ37txZu3YtPrcDN5OJj4/HUF1NL1E9eZ4gI7tkiJyaxL+apycjOWOwnKiikpLL7z1spOnmlUbvM8cKK9iUNgAAYNDuVtSlvXpe6bQSY+Ga1PZjCGHn0KiQjAgFZVqAd81kMmFiFG8rnVltLfAgj0q/XN0E/9ExDACAsVishh9vLQz8efr06bx581paWn799deQkBBOF23GjBn29vYKCgpFRUX+/v4LFy5UVlZetmzZnTt3DA0N/fz8Pn/+/PHjR3d3d7jndkJCwoEDB8aPH6+jo+Pq6vrlyxdfX19PT09JScm7d+8uX74ctzsaNWqUpqYmmUzOzc3FzejAQFxjhMbNiMUmhioS4gQpGRFZ2TGDZGdbztEIiRKRH9STFlj1dY0+59nt1OiGNs6Lqa3tlW3t9NLilogwvvneBT+eEAokNDogZ+m+T9N8kn9xlaHwwIAo5TFiCPwnRSAAAAgSkuLDR/LWHP8ICwu7cOFCaWkp5xXuXPOqqqqWlhZ+2O2mtn3hwoV3796FqU9ubm6Ghoatra0PHjzYuHHjsGHDxo8ff+DAgaqqqt27d8fExFRXV4eGhjo5OQ0dOhQK5+LFi0NCQmRkZKKjoxcvXswP57vB3NwcfH/RUQqF0t7ezmazudOIvjfEh2sN3rqHICqi8scplWNnhz94oe51XVRxcA8vb33xFPtKxg1GpTTfC+adp9/mRxJCgcwRCuewbODJv9wie4K0TNfvEQjE2fN4a45/2NnZ0el0mFoC4V5v8/jx4/woPOXUtv/2229fq22HC1sfPXo0JSWlqqoqKCjIzs5OXl4+JyfHw8Njzpw5Q4cOtbe3v3//vrm5uZ+fX3l5+Zs3bw4ePKiiosJkMp2cnOB4EWcEOE1IpVInTZrE+dPe3j4tLQ0AQKPRPDw8UlNTL1y4kJGR4e/vj79vPYTy5pWU4c+y8xcTZ8ztbb0Eo5iE0doBAO0Y9ktBNfz3qpn677tV5bx39+v8GELYeY5QGEKjgp0jBANL/uWX/iqmMnSwpORY6f//PE3lpAjS0vLLV4kPG85bc/yjtrZWXV0dzxUyg4ODObXtcN++b16iqqrq6OgYGhpaW1v77NmznTt3jho1qqGhISwsbPPmzZqamlOnTnV3dx8yZMipU6fgnl8VFRU43EtnBCiEcDVBzp8UCoXFYgEAJCUl4Yad8vLydXV1MJOIA4PByM/PBwC0tLRUV1fj63JHKG/jiOYz+3YtQU4eiIoAAKQIhNtjhsJ/M+T/3WxZROor3Vb+8OOVTwhbsgwyzRMIEhLDroaK7No4oegT1k7F2GyCuPiFcZryS34Z4nKQt7b4SmZm5rJly7hfwTDswYMH8Li4uJi35vpZ2y4pKTl37ty5c+d6enoWFRXFxsZGRUXFxMQkJiYmJibKy8vr6upypAjDMPyTs3R1dVVVVaurqwsKCvi610qXsFgsjpjRaP+/UEtVVRWGYfPnz8/NzYW1/xzi4+ObmprS0tJgvu66deuGD+/YjSssLJSTk1NRUcnKyho1ahSRSAQAUN8ntP4TxawqF1VSJs62Jk637Ofq2PSiT4yKMhmzPgqhjPHU5lvX/k2T+V8IomLSJtP641tv+VGFUBjmCAfesKznpvnxgYsOVtIICqemJFIT4piNZIKmdgwNGM+1UmCzH9y7N2HCBD09PZ4b5Tlz5szp8AqGYWVlZfC4tbUVAHDgwIHBgwdbW1tzNpruG6dPn96/fz+BQDh37tyuXbv60xQAYOTIkU5OTk5OTm1tbbGxsY8fP4Y7nIwZM0ZdXb2ysjI/P597E0F8IBAI06dPDwsLi4uLw18I6+vrnZ2d4XF2djbndS0tLZgvpqSkNGvWLO5LZs+e/eTJk6FDh+rq6kZFRSkoKHRok0ajFRcXP3r0aMeOHQwG488//zzxxx/VezbRPmay2ymwfqj1VYy4xgj1yzdEByv12XlKwivxYcPFR2j37XJpAxOx4VqMT/md3yJIiCtu/K3PjvWBH08IcZYHYVajgZQsw0HayFTayBQAUF5ePkdS8sKFC+rq6paWllpaWnyyyG9ERERcXFzgcX5+Pp1Ov3jxIpVKdXV1VVVVnTt3rq2trZWVlby8fK+a5V9tO5FIXLRo0aJFizivTJs27e7du3FxcfgLIQDAwsICCuGmTZtwNq2iosLZ8Q12CyCTJ0+GB6qqqh0uCQ8Pz83NXbt2bUpKyoQJEz5//jx+/HjuEyQlJdXU1AAAOjo6UVFRKioq1Xuc6lOT936q8B6pAs85nFe2obkNbP5F485jgmgfVYDy5qXM9Nl9uxYAAAgENc+AynXL/jEQAUw6fM1txBAJSSmVkxfENUb0veXe82PMEQ7sgvra2tq1a9e2traGh4efP38eT9NfY+Aly3RGQ0OjsbFx9OjRZWVlmZmZnJ0vf3QIBMKNGzfWr18/dOhQTvWeqqrqvHnzLl68WFhY2JNGOLXt169fx6G2XbCF7QKx3ufKxfHjx1tZWQEA9PX1FyxY0EEFAQAUCqWgoADDsNzcXElJydqPmbSPGQw6jdT+/8ueldKYVAadWVXZ+iSyb26w21rbM1NkzGb07XKImLKqRtg/6uYWgCBCkJISlR80ZM4C7duPiDM6hj34zY8hhNyjBElJSXFxcX4/oznx+g5R2Y0bN/LcloqKipmZGYZhS5Ys4f55KCoq2tnZCSSVThjGwSkpKbt375aSkjIyMqqpqVFS6nuMSLDs2LGDc2xlZTV+/Pjly5cHBARUVVVxqveYTCZMWhk9ejQse4+KiuKelOKAYZiLiwuntn3NmjU43AKUolevXuFgqzPjx48fMmRIeXk5d1rKgwcPLl++XFBQcO3aNV9fX95azMnJMTY2Li0tnTJlCrcbcAOy7hkzZoyhoaG6urqqqqqOjk7nE2RkZMzMzE6cODFu3DhdXd1tmipsKqXLptjUtpbH4X27Beq71wQxcWlDk75dzkFEWoYgJi47b+HIhFytlxlD3S+JjxBELRP2IxAWFgYAWL58OQ62Wltb3d3d1dXVa2pqMAyLjIwEANja2mIY5u3t/fvvv/PDqL+/f3NzM4ZhZ8+eha/8+eef6enp8DgoKKi8vJwfdr8GfCRZWFjgaRSSmJgIADAxMcHf9ACGTCZzqvc4v30ZGRlLS0tPT8/S0lJ4GpPJXL9+PQBAUlIyPDwcN/fYbLaKigoA4NOnT7gZ5WbJkiUAgGvXrnG/CH+MERERFy5c4KGt5ORk2OvasGFDf9phMpn37t07depUcHAwlUr92mkV2xwKDbRSJw2XEiFMkZWC/+RFRaLHqRcaaJUtmdU36zXH9le59Mt/CJvJKLL4qeUxfl+2LvkBRoS1tbUBAQHS0tIpKSkkEol/hhgMhre398iRIw8cOFBZWRkdHQ24goRkMjk5ObmwsJDni1C0tLRgGPbmzZunT5/KysrCxRh9fX23bdsGF91+8OABznnSAozKamhoHDlyBLdFtoQEJSUlOzs77uq9yZMnU6nU2NhYFxeXESNGTJ48+cCBA4sXL7527ZqMjExUVBSete0EAmHatGlAcNFRzlprHV6vra1dsGABZ7PM/pOcnGxlZVVfX29jY9OfPYExDLO1tU1MTNTX1y8qKpo2bVp7e3uXZ4qrqAECAQAwTEKMU6UwUUYSviuqqNg389S3cX3OF+WmPSOV3dYmbWrx7VP5imB1uHva2tpOnDgBwwUyMjIAACkpqWPHjnXT/ekzMTExEyZMgJ+JiYkJTOYuKyubN2+egoKCmpra+/fvMQyLioriueku0dbW/uOPP86cOYNh2KJFi1JSUvCxC4GdgPnz5+NpFMOwVatWRUdHw+OjR4/m5eXh7IBQUVNTA8veBw36d02sIUOGEInE169f4+/MxYsXAQAODg74m8YwDFaya2trc155/fr1jRs3ysrKrl69+uHDB55YefXqFXya2dvb0+n0/jT19OnThQsXcv7cvn27j49Pl2e2vXlRZD4+ddJwHSnxQgMt+M9MTjp6nDrJULvQZHTtyd9pn3r3Q2vP/VBooMWo5EGYinzhr/J1y/rfTj/5ToWQxWKFhoaOGPFv4pClpWV8fLyTkxMsM9LR0Xn06BGvbL1//x72BwEAY8aMCQ0NZbPZ9fX1u3fvlpSUBABIS0sDAERFRXfs2NHU1MQru92jra3d2to6bty4srIy/IXw/v37AADuXxo+aGlp6evrwyHy0qVLYecDwW9KSkoiIyNhmj6n91NUVFRZWYmbD3CneE1NTdwscsNisWAdAidKzHMeP34MnySrVq2Ci9r3h7///vvUqVOcP0NCQrZu3dr1qWz259ULMwx1jGWlOEJoo0h8NkGzdIFZy/OnFVtXFRpola9b3hLziM3skWMNV7zK7Ob28xYgZXZzG6548aSp/vA9CmFMTAxn5SEjI6MXL14UFhaeP38+JSUlPj6eUxplY2NTUlLSH0P5+fl2dnZQXJWUlNzd3Wk0Go1G8/T0hL8KAoFgZ2eXnZ3t5uYG44RDhw4NCgpis9m8utnOwLlJ2Dm9d++enZ0dFEK+GuUmMTHxp59+UlNTk5eXDwoKwscoRFtb28vLa/fu3RgSQrx4/PjxjRs38vLyPnz4AADQ0NDAMOzw4cMAADc3N9zcYLPZcOasuLgYN6PcwOqFmzdv8qPxyMhI2KvevHkzi8Xqf4Oenp7c/zvXrl3btWvX105mNjWUrZxPMtfjCCHJTK/ExpwzpGvP/VB78neS6dgSK5N63/PMxoYu22F9aWp7/bzlcXiZ3Vzyhb/6fxeM6spCA632XN4MuPvD9yWEycnJM2f+G3cePny4n58f/NIcPHjQ39//48ePGIYxGAxPT09OvNTNzY1Go/XWEJlMdnV1hV9NGRkZV1fXpqYmNpsdGhqqra3NGYampaVxLsnLy5s9+9+imenTp/MqWsJNS0uLm5ubtLT0s2fPOFEaa2trTU3NpKQkMzOzvt1sz8nJybG1tYX3yElgmzNnTn5+Pv+McqOtrc1gMAwNDdPT05EQ4sOhQ4cCAgICAwPZbPaQIUMAACQSKTw8HAAwY8YMPD2BlYWBgYF4GuXwxx9/cGJCjY2NPGz59u3bcI3yvXv38qo7m5SUZGpqymltxYoVYWFh3V3AYrY8iajcsbZs+ZyKLau+PLjN7vQkYdaTG6/7lFibkn4eU3N4F60gl/MWm8GoO3uCZKpbNH0iyVyv0EC7yOKntjcv+nkXX8JuFs81xvDq4nfD9yKEpaWlTk5OcAXFwYMHu7u7c08Eurm5MRiM48ePc16pqKhwcHDgxDNjYmJ6aKitrc3d3R1OioiIiDg4OFRUVGAYFhsba2BgABvU09MLDQ3tfC2bzQ4KCoLpbeLi4s7OzjDVs//AYSh8DBEIhEOHDnGEsLCwUEpK6syZM9C3SZMmJSQkfLO1W7duUSiUjIyMmzdvtra2ftOBuro6Z2dn+HMlEolwc5ygoCBlZWXOzcKIJZ9ITU1lsVjwrhMSEqZPn75kyZL379+3tbXxzygCwzB/f/+4uDi44CcnebK+vl5ERERKSoof8/Ff49y5cwCAdevW4WaRA4lE0tDQ4HT+4ALibm5u/Y/E+Pv7w8eaq6srr7yF7Nq1y9ra2tPT85dffrGzs+NZxIjFbI2L/Z94KYNe5byONHUcZ0AJ/xVNHdca068pqiqXDbXHefyx9A3BC2F9fb2rqyvc4VNCQsLZ2blzd6ysrOzSpUvc4zPIixcvxo0bB7+7dnZ21dXV3RjqPO+YmZmJYVh2dradnR18UUNDw8/Pj8lkdtNOY2Ojs7MzXABQXV29/8HDyMjIUaNGQQdMTU1hqgL3XEVFRUV7e3tsbKyuri5USgcHBxhB7ZLm5mYvL6/q6urS0tLo6OhXr151Yx2Wi8BlR8TExJycnOA6h5CGhgZnZ2f4S9bQ0PhGr7NPlJSUODg4wDJwjvyvX79eUVExPj5eR0fHwcGhrq6O53YREDabnZaWRqFQMAzz9PQEAKxZswbDMDgHATetxYeUlBQAwMiRI3GzCMnLy9PQ0IC9zKNHj86YMYO7THn48OFbtmyJjIzsSYeyA97e3vC3w92J5yE5OTkPHjxIS0tjMpk3b95cuXIlT+KuEE68tHjGJJLx6A4q+K8WThvPau1j/5hNoxWZ67XGPuaVw/1BkELYeTauqKiot43Q6XRPT0+4qqyCgoKnp2eXMhYTE/PTTz9xzztiGFZeXu7k5AQlTVZW1s3NDT4OekJqaqqJyb/FpLNmzcrNzf32NZ1ITEw0MzODjYwdO7bLYSg3FArFzc0NdhoUFRW/drMYhgUHB1dXV1Op1DNnznwtwMhgMPz8/DiFZZaWltzx3tevXxsaGsJrU1JSOJW/NjY2HWZxKBTKhQsXyGRyeHj45cuXX7582cPbr62t3bFjB3zoyMjIeHp6coSQTCYPGTLk4sWL8F0VFZXr16/jNksqtKSnpwMAtLS0MAyDC8qcOHECN+tMJhM+DcrKynAzmp2dDRckmz59OifA09raGhkZ6eTkNGzYMI4iiomJmZmZubu7Z2dn96RlDw8P+GQ7f/48//x/+/btw4cP2Ww2LK7/559/eNs+s55cOn9qlypYaKBFMh/fHHW/by23vY0jGY9itfAmqNZP8BBCKpXKeYQxGAw6nd79bFwfIJFICxYsgK3p6+u/ffuW+11YFA87m7dv32az2ZzZOBj3c3Jy6maA9TVYLFZQUBCMZ0pJSbm5uXWOI0VERMTGxna+Njc3lzMMVVZW9vT07Hki2adPn+bN+3f/PAMDg846R6VSDx48GBUVFR4e7u7unpqa2rkR7nIRY2Pj58+fwxRBEokEQ6Bz584FXLmyLBbLz88PDhylpaXd3Nza29thU3Q6/f79+7AUOjQ0tCcZTB0C1HZ2dl9LkcjPz+csM21ubp6VldXDTwnRB7iTJ+EqFpaWlng6ALcfCgkJwcdcSkoK/P3OmzePQqFkZ2fDKBE3nNV5uPcihguIR0ZGcn4FHXB3d4c/n6tXr/LPf7j6hKamJovFOn78OADgl19+4bmV4hmTviaEhQZa5LN97CrV/X20YvOvvHW1z+AhhNOnT+cMmC5fvvz7779zlpSdNGnSs2fPeGUoMjISLp0Mg4eceBqTyZwxY8b58+dpNBqdTvfz84PzfHAY2s/FLOrr67nrOh4//v+RfklJyfXr18+ePfvlyxfOi51n4/o20RgZGQm3X4EznWQyuYcXvn//nrOV6+jRo2G5yNOnT93d3VNSUnx9fQ8ePIhhWFtbW+dc2aqqKhjGhNc+ffoUthkREQE/xnPnznVvHQaoOStcW1paZmRk9ORmYfBKTEzM2dmZ+/NE8BZO8mRtbS2BQJCRkeFrflYH4CjKyckJB1uvX7+GHTsbGxsqlZqenq6srKyqqkoikbo8v4er87DZ7D179kAV5HfSNZvNhrMqz549+/z5s6ioqJSUVEND1zmffaZ4tuFXR4SG2tUHfmO392UiuXSRReMNf9662mcEIIRHjx5dtGhRT2bj+gB8fMN00MGDB3t6enIHzTvMxr1584ZXdrus62AwGF5eXuvXr4eTl93PxvWBLrWqm/M5s3Hgv3IR7v7s2bNni4qKtmzZAoUQ0iFXFibuvnr1irPUr42NTVFR0cGDB69fv56Tk5OcnNyNA9yFMYaGhs+fP+9wQktLC/wZk8nkDmkyTU1NnKlZNTU1nOs6hIfTp08DADZu3IhhGJyA7xBf4Svv3r0DAOjq6mIYxmQyQ0ND4VeO53Bq21esWEGn01NSUmDxhrW19TfnR5hMJmd1Hu4NFCdNmnTgwIEVK1YAACQkJO7f72PMsFecPHkSALBy5UoMw2Ds5GuV9X2mardToaF211o4RYdkPIpkOrZi66rG6z704sLum2JUltd7/lW+ZslnO6tCA63WVzwO5PYZnIQQzuimpaX9/vvvR48era6u7vlsXB8oKCiAkT0AgJGRUXJycm9n4/pA57qO9vb2a9eunTlzpvvZuH7Sk7qOLstFuE8gkUi7du26f//+7du39+3bx/1Wl7mycGpWVlYWjmvd3d27D+2mpKRwtlXT1NTkFMZww2Qyg4KCduzYkZOTc+rUqT179nQ+Jz093dTUFLYzc+bMnJycXnxSiB6QlJQEh/sYhm3ZsgUA8NdfPKgY6yEMBgP+gioqKmpra8lkMj9W9+XUtq9evZrBYMTHx8Puqa2t7ddCnV+j8+o8ysrKkpKS3JEhvlJeXs4ZCN66dQsAYGxszFsT7dlZnVNGCw20Cg21S2ynsdtaKO/e1P19tMTatNBAq9R2eu3J31vjYtmdls5peXS/aOpY7rwbkunYhquXeOtt38BJCB0cHJydnZ2dnWfOnHn06FEcjLLZ7ODgYKg9nC2e1dTU/P39+7+sQzd0qOu4fft2VFQU92wcXLyNt3RT19F5Nq7LObyamhoSiUSj0QoKCroMPHLnyg4bNgwOyMrLyzk3O2nSpC5H2GVlZZzCGEVFxQ6FMZ05fPjwvXv3Pnz4cPny5S6TReHN4lbXIWwwGAyoChUVFbdv3wYAzJs3D08HYBf27t27GIbFxcVxr5/CEzi17Vu2bGGxWC9fvoT9uZUrV/bwyZCRkbFjxw4Mw1xdXQ8ePAhDFzQaLTY2Fk7eT5s2jbc+dw/8xC5fvkylUhUVFQEAnWc6+0lj8NWOWmg8qnjGJFrR/8wr0ctLm25dq9i6imQ8qshMr3Ln+i/3bzGqqzAMo6S+L+pKTUlTx/U53YaHCCY0ioNRSFNT04YNGwYNGiQrK+vq6hoTE+Pn58fbatkuefr0aYcVqxUVFe/du8fXvMcOdR2BgYEdykV6MhvXPdy5srNnz4b/rVFRUTDvqUNdR0NDA3dhjJOTU21tbTeNMxiMY8eOPX/+PDMz89KlS/v37+8mct65riM6OpojnLm5ue/evevnzQot8Gl++/btyspKAICsrCxf+44YhuXl5f3222/wv/vUqVMAgG3btn3+/NnHx4e3aau3bt2C0/P79u1js9nR0dHw+7lp06ZeFR7AjSk2bNiwYcMG7m9pWVkZ/LHzsIzhm8D+ipGREYZhW7duBQDs2bOH51Yo794UTZ9YaKRNMh1L+lm3+sAORu1Xy9VYXxpbYh7Vnvy9eK5xoYFW2fI5RbMNvjbRWDxjMsbi8RxZb+G9EDY0NPj5+Z04cYIzxy5AIcQwLC8vDw7OMAzz9PSsr6/Hxy4cjIqIiEBlWrFiBT52k5KSjIyMoCxxgsOwXIQnwFxZOKEC00epVGqHuo6zZ8/6+PjAQRvMSPpaAgI3NBotJSUlJSWlvb09JyenJxOoycnJsK5jzpw5VlZWnNzjgICAAwcO9PdWhZW//voLDpgwDBs9ejQAICkpiX/msrKy4D7s7u7uGIbdvXsXxs97XofTQzrUtt+9excW52zdurW3unX27Nn6+vpz587duHEjNze3rq4uMDAQJrvCrmf/O509h0ajwd9jZmYmjGyrqKj0c1HvzrAZjKLpE5uj7jPr63qhWywW9UM6+fypQsORXxPComkT2rMFnA3OrxHh6dOnOcdubm5w9RYMw549e8aPouxuyMrKAgBMmDABw7CkpCQvLy98aoThVzMtLQ3u6gmLlPGByWSePHlSUlJy0KBBt27d4scwtMtcWU6pA0eD+18Y800YDMb58+fz8/OREPKKt2/fAgDGjRuHYdiGDRsAAHAXFH6QmpoKCxhmzpzZ0tKSk5Ojrq7O+f58LZLfB7y9vWGzsLY9JCQEDg3379/f26Zyc3P9/PyysrKePHkCN0uB+3dOmjQJwzBHR0cAAG+3MPwm27ZtAwDARXphwfTDhw95a4KSlFBopMNs6ktKKq3oU9G0CV8Vwuk/tb3umDeHM3wRwg8fPvC8rrPPpKamAgAMDAwwDAsNDT1+/HgP62H7CZxo+fLli7+/P4y94GCUQ0FBAQBg1KhRfLUSHx/Pmf7k5Mp6e3sDAIhE4pMnT/hqvQNWVlarVq1ycXFxcXGZM2cOEsI+Q6fTiUQigUCorq6+ceMG+G9jap6TlJQ0ePBgAMCCBQuoVOrHjx9hbfu0adM8PDxg1oy0tLSrq2s/p4FhVR+BQPD09MQwzM/Pj7fLnrW3t0tJSYmIiJDJ5ICAAADA0qVLedJyD0lOTuYMBM+ePQsAWLRoEW9NkM+dKl/fx63RWV+aSCZdr00DazCq9ji1Pn/Cauvp2j1sOp1eXsqo6VfWPTd8EcKbN29+P4uAwJrTn3/+GWe7ME5IpVLh9pvbtm3D03p2djYAQE9PD8Ow48ePGxsb80mW6HT66dOnYbrB9u3bMQwrLCyEw0R+mOsGKyurkJAQGFw9cuQIEsL+YGlpCQAICwuDk16DBg3ieaVTh835OhcwwLwzOIyD+VkkEomzjGJLS0uHAjIktgAAIABJREFUBOn09PS9e/diGNbc3GxlZcUpv+HUtgcEBGAYdunSJQKBQCAQeDvMhVu5RUREwO//kCFDcH4GwsKk8PDwmpoacXFxMTGxflZndaBsmWXDtcvcr7S0tAQGBn769CknJyc0NLS8vLvtCT+vsik06LoGg2Q+oXrf1iLz8YVGOuXrljde92nP+WqklFlPrj6wg2Qypshcj2Q6tmi2QdPdG/1ftpsvO9SvXr2au7xGsAhqs3WOXQaDgb8D3Hf96dOnpKSkuro6fhgSFxffu3dvbm7uunXrjh07BgS6u/24ceMMDQ0NDQ05KUKIvgGXXIiLi9PU1NTS0vry5QvcpIlXPHnyxNrauqWlZdWqVSEhIe/fv581a1Z9fb2tre2DBw9gbYO6uvqNGzfev3//888/V1RUrFmzxtzcHMYbAAD5+fn79+/nbnPy5MlwQOnr62tlZQUfcHv27Dlw4ICoqOi1a9fWr1/v4eEBl47z9PSEZe+8gvOJ6ejoaGpqksnknJwcHrb/TdasWQMAuH79uoqKyoIFC5hMZkhICK8aZ1R8phcXEv93S3oymWxvb3/jxo2YmBgzMzPu5eg6o/z7SYKUVOfXRaSlVd08VP/21nqeqn4pSErfqCX6fvnqhWULp9edOtga+5hNoXBOZlZXfraf+zoynE6nsSkUjNZeWl374fSJmkMu/bxBvgjhdwV8LnOvoosDTCaTzWaLioqKiIgIRBi4jeLggIaGxrVr12CYSyAf+NdISEjw8vIqLS29c+dOQkKCoN35YeA81jsc84SoqKglS5ZQqdTNmzffuHHjzZs31tbWzc3NK1euvH//vpSUVG1tra+vr7e3d35+/uvXrz09PYOCglRVVauqqk6cOOHo6FhbW/u1xpubmxsbG1NTU3Nycnbu3Hnu3DkJCYnQ0FBHR0c3NzcoigEBAc7Ozry6HQj3pzRt2jTA00+sJzg6OkpISDx+/LiqqmrdunUAgOvXr/fw2vLy8oCAADKZDAB49+4dDANwQ3nzUkxZVWL0WO4XtbS0MjMzp0yZMm/evPT09KtXrwIAkpOT/f39qVRqUlJSQEAAi8WCJ0uOn6R66oKIjAwQ+XeMRBAXF5GSGrzzINFyPgCAICEpbWKmtMNV817M8Mg4hbVbmXU1tYd3lVgaVm5b3RToyyghVe//jd385XBxbROTDRuJbmx7Vl1PiYttfRzet88NIixCiLMOcY8CvxMhxE2ZBDICBgAcP34crjsMAJgzZw7sIP/000/29vZPnjyZPXt2fn4+zi79uBgbG0tLS3/8+JFMJvNWCO/cubN06VIajbZ3714fH5+nT59aW1u3trauXr06ODiYs8b6+PHjGxsbg4ODiUQihmGOjo6FhYVTp04VERG5efOmtrb2/v37Ya3wnDlz7Ozsfv31119++eXZs2f79u0jEomqqqoHDx708vKSlpaOiIhYsmTJ7t27jx8/LiYmFhgYCHWCt5iamkpISGRkZDQ1NfG869ATlJSUOAPB+fPnDx06NDs7G84dfhMKhbJy5corV66QyeSIiAiYYPg/JyS8kpk2C/xvnC8uLg7mBH3+/JlEIsEwjIqKir6+fkxMzMOHD2fOnMmp4QYAEGfM0Qh5RMCA1PifpI3NFNZs0QyLGWS3urM/4sOGyy/9Rc0zQOt5muopT3E1jS93g8qWWdJys7D/lJUbNpXScNWrJ3f6VfoZWv3+efjwIeDD1HH3NDU1AQAGDRqEYdiRI0cAAMeOHcPTgefPnwMAZs6cif23emRUVBQ+puHAa+rUqfiY6x4Gg3HmzJn6+vrGxkY4RYToITNmzAAAhIeHk0gkAICpqWn/2+xQwBAREcFd2845ra2tjcFgHDp06M8//6RSqZzfzr59++zt7Tmr9BGJRHt7+6892UaMGCEhIRETE8Nms2E4VEJC4sGDB/2/i68xdepUAMCjR49gydbQoUP5PU0YFRX19u1bCoUSEhJCIpHg7gJwgbq9e/cCALZu3drDpu7cuZORkbFnz567d+9ev36d+y12O5U0dVzryx4tCs1isTw8PMrLyzdv3vz33393WMm55Wlkkble5z2Bvw2bXe9zrtBkdKGB1lhpid3qioc1Bh/WGDxrkMwhjcGFBlqkKTpsZt+rXdGIkO9GBRIqFOCQVIBzhJ3x8fFhsVgkEunZs2efPn1iMpmC9uh7Jz4+/uDBgwAAmP0RHx8/cuTIyspKWFPRH3x8fLZs2cJms48fP+7u7n7r1q1ly5bRaLT9+/f7+PhAgYTQ6fSgoCALC4tNmzYFBgYuW7aM89b8+fMzMjJiYmJGjhzZ1tYWGhpqYmLi5eUVEhLi5+d3/vx5d3f3gwcPbtq0qbS0VE5Obvbs2RiGNTY2ysjIwJBsP++iGzgDQV1dXXV19erqapi8zSfa2tr09PSio6Orq6sXLFhw/fp1a2trNTW1/Pz8pKQkOOqFG3R/s6mAgID4+PiWlhZnZ2cVFRWY+8aBmpIIWExpY7OeeHXgwAE2m93c3DxixAgajQaLiTlQ3r6S/nk6oQ8PBwJBTFlVRPTfDUCGiImoSoiqSojKiv7/IPXJ4yfJyclsNjssLCw3N7d37fdZQn8UgoODAQCrVq3C02h5eTkAYNiwYRiG7d69G/CzEqtLYN8QZr3Drj3Py5O/xrNnzwAAc+fOxcccgufAZVNgUAHWxvWfDpvz9a2AYd++fYGBgfD43bt348aNg0VKcENvuKzgly9f3r59C+sRwX9F+gwGg+erjnXm6dOnAAATExMMw+BQ1c/Pj68WyWQyfLCkpaXB9ZPhQHDLli3t7e3GxsYAgFu3bvXTSp37kYqtq3ngLotVbGn0JfxO366mZqbCYsSx0hKJEzVhxukedUU4Isyba1JcXOzq6nr//v2kpKTeLlErLCNCnAdk3EYFnjWK8yfwXSXLIPqMgoKCtLR0UVGRjo7O5s2bo6KiaDRa35ry8PBwdXUVERG5cuWKi4vL5cuX4bI1Z86cgbUNPWT+/PmGhobwWEtL6/jx43l5eWvWrGEwGBcvXkxISHj27JmJiUloaChcUAIA8PLlSwCAmJgYZ19u/mFmZiYuLp6amtrS0oLDNGFFRcUvv/xCJBJfvnwJpz8BABs3bgQA3Lp1S1dXV6qh7icZycBr1/ppiPI2TsZsRv8dbs/JYjXWy0y16NvlUhP1RQYrga7KEQhS0qqOm5qbm1ksVmVlpba2Nvzf7zli3z7lB0cgOvSdJMtANcLZAUElyyB4QlJSkqys7JMnT9asWUOlUqWkpIqKivz9/f39/YlEoqWl5fz58+fPnw+3h/wmGIbt27fv7NmzMFdzzZo1Hh4eBw4cgLXtvU3dhLENiKqq6vLlywEAgYGBW7duffDgwdy5c3V0dB49eqSnpwcAuHDhgouLS+cESP4hKyurr6+flJSUmJjILYSJiYny8vItLS1ZWVlqamq2trY8MTds2LB//vkHHs+c+W9hg66urr6+fnp6OqutZabm0ENj1WiUylq3vTLmM2V+niYiJ99bK/TiQkZ5KdF8Vv8dpiS8khyjJ6Yy9NundgmBMNTDu3Kj3RY1BVnRf4dw0+SlxSUlJMaMFbVZ9jo4BAAwe/Zsb29vqa5KNbph4AvhdzJHKEAHcFam72qOENFbjI2NRUVFrays6uvrra2tQ0ND8/Pzo6KioqOj09LSIiIiIiIiAAAjR460sbGxtbW1sLDoZvR/+PDhs2fPSkhI3LlzZ8mSJUePHj127JioqKi/v//69et55bOJiYmJicnnz5+lpaWhCgIA4J4Mnz9/5pWVnmBhYZGUlBQXF3fy5EkVFZWKigoSiSQpKfn+/fv169fr6OjA8Cn/KC4urqqqAgCMnjjpZHT0UGkpyts4yuvndSd/Z1Mokrp6MtNmEafPlhw7AXRb6s0oL215FsUoKmRWlYsNVhbXHP5N00+fPs3Ozp4+fXpZWVl+fv7y5cvHjBnDfQIl4aWM+cyvXd4TJHX1hgWGLz3kwigrIYiLAwybKEmXX7RCaddBgoTkb7/9Bk+D+Ym9o2/h2h8IuOAQXIUPN7jXdVu1ahUA4ObNm3g6cOXKFfC/26vitnUfXJTLwcEBH3MI3tLN5nyd994DAMjKytrY2Pj5+XHWE+YmLy9v+PDhERERbDZ7165dAABRUdEbN27ww/OCggLuGU02mw39LCgo4Ie5LomOjgYAmJmZYRi2dOlSAEBAQAAnY9nLy4uv+7Dm5ubCqnYzM7MOG46ymQxqejL5ovvnVbaFBlrFlkY1h3e1xDxitXZau47NJl/0IE0d+9+iaNok49Gli2cyKj5/04GSkhI4ievh4dEhY5ZZTy40GknNSOnvTWIYhmH08tK2+OeU5Lc9X5Wte9CIkO9Ghc0BNEf44/Lq1StbW9vW1taVK1fevHkTTjtxUFFRcXR0dHR0ZLFYiYmJ0dHRsbGxqamp0dHR0dHRIiIi+vr6lpaWNjY2sOAPAKCrq1tQUACTWS5duiQhIXH79m2oEDxn+PDhVVVVTU1NCgoKAAACgTB27Nj379/HxcXBPTRwwNzcXFRUNDk5mUKhwA3J4+PjpaSk3r17t3LlSgkJCbhoDj/IyMiYO3duXV2dhYVFVFQUXL6OA0FUTGqykdRkI7ADMCo+U9+/ob5/U3dsH0ajSU7QJ/5fe/cd1+S1/wH8JIQVUDYo4AoKggoKeh2AOMBanHUvqvX+RJw4C864C2oVi6PgxVEpCqK2FBCFAgJqVVAqolAIBjHsHUICGc/vj2PTFBGBDMR836++7it5kpxzgjf55DnPGeMnU8dPVqMNQghVnz9VF36J4PH+filBCPiCt4Wsb+b2ufk7WUv7vZrfqaiouHHjxvr161ks1oABA1osLtZ4P4ms3VNj2HCZvFlVs76qZh8/SW0/ZQlCGCzz2U+oB1KKiYmZN28ej8dbtWrVjz/+KDmfoQUVFRUnJycnJyeE0OvXr+Pj4xMSEm7fvp2RkZGRkeHv729oaDhx4kTcd9qzZ8+VK1deunSJSqXevHnziy++kFP71dXVvb29FyxY4OPjIxKJysrKrK2tHz16lJKSgoeQKICOjo6dnd3Tp0//+OMP8WXCS5cuLVmyBCHk6ekpp3ozMjLEvdk3btxoO25Vzfqozlncc85ioonHy8zgpCTURYZWBfqrmvXVsHNoiI8l+C1HRREikZBdX3PpR4N12z5UbFxcHJVK/fPPP4VC4ezZs1s82ng/mTrOBZFVWn1tl/v8gxB/LyvPND6sC5MYrhF2RxEREcuWLePz+WvWrDl9+nQbKdjCgAEDPD09PT09Gxsbk5KSYmJibt++zWQyr1+/fv36dQqFYmJiwmKxevToERUV1bt376ampo6O6Gu/nTt3jhw5MikpSVVV1d3dXUtL69KlS3iPJIVxcXF5+vTpvXv36HS6vr4+k8ksLCyU6+K3qamp06dPr6+vnzFjxvXr19v/5yWpa2iOdtQc7Wi4nc5nvWlM+b3uZtj7KYgRTbyG2FttBKGHh8eHHiKEgsY/Uo189rezYYr3+U+f+EROyJRn2CoEYbcTFha2dOlSPp/v4+Nz9uzZ9qegJCqVOm3atLNnz75+/ZrBYAQEBLi6uuK1drW1te/cuaOvr89isfCEQvmZMmXKoUOH6HT6qFGjZs+ebWBgUFRUxGQy5VqpJPFCBGQy2dHREd+WX3XJycnu7u54pdabN292+keGqllfncXfaE/6so1BNMKqys4VzsvMEHEaNEc7d+7lCvD5ByGFQtHT02vRYy5vn8jKMl0yfQKCsHsJDg728PAQCAQ+Pj4dmtXXBhqN5u3tHR8fX1ZWJhQKGxoaTExMbG1tLS0tWyw1IlckEgn33ypy2c/x48eTyeQ//viDx+PJezZhTEwMXql11apV4q2GpaGip9/Wsi8kxI6+Kayu6mixjQ+SNYYOV9E3kKpx8vT5B+G3334bGxuLFzpJSEiIjIxUQKV9+vTx9PTEvw2dnJxcXV0V+flHrSXx8ePH8Zr9t27dwouGyLVqGCzTLYjntn///feySkFJurq64jDIzs729/efNEkGM9JaJRKJzp8/j2fZBwcH412WFL/+tb6+/syZM5ctWyaeVo8n9ctcRETEV199xePx1qxZ0/Y13fajjnFGpA+UQyZTeplV/eDHdBtZNH9KVaA/LzMdiUQfKopfVFj27ZoCRxuGw4Dan4IIHk9QVip9C+XkMw/C3377bfTo0VevXvXx8fH29mYymYrZgsDe3t7Pz49KpdLpdAcHh7t374qnNynG+/MIbW1tORxOYWFhZWVlQUGB/KrukouyoBMkN+fDCwHKgziK9PT0VqxYIb+dSslk8qRJk0pLS62srGbPnm1vb4+6IggRQrdu3Tp//ryRkZG+vr6mpmZ1dTWNRpNydZ4WZNKb/T7V/hZaThNIrfWvktU1TM/81D/uoXlolJarO/fRfdb/LWC6jSzzWceOvimqr5N8Mjf94dvF7g3JdwkeFyGEREQTI7do/pSml7Lc1VKGPucgbGpqWrduXUxMzKlTp27cuHHo0CGFVV1ZWens7EwQxIQJExITExctWqSwqjHJbYEJglBVVcVfQOfPn1dTU5NrEDo5OW3btm3kyJHyqwJIT66b80kSR5GpqamDg0OLSdYyRBCEgYHBgAED2Gx2eHg4Xqrbzs5OV1e3oKBAkUvMYHl5eRMnTuRyuU1NTa9fvw4ODp45c6aBgcHs2bODg4OlmekfFBQk895sMeP932vY2JEkxp2SVFXJVK1eJ89TTM0RWUXdepj+6k3moVH97z4x2LwbIVR5bN/ryQ5vl82sDgpoepUlrKku3eIp4jYiocT5olAo4rBLNiwXcT++CHgXkMlsxE/Ty5cvR40aJXnk/Pnzhw4dUkDVdDodr/aLjRkzJj1dNjNJ22n16tUIoXPnznG5XAcHh3Hjxh08eBAvv9vY2JiQkCCPSplM5qJFi6qrq/Fd3OcGPjUikWjTpk0IIQqFooB1HoRCId6xmclkyrUigUAQFhZ29epVgiAePXokPj5t2jSEUGhoqFxrb0G86reTk1N1dXV6erqfn5+jo6PkCTGNRtu4cWN8fHxzc3P7Sz59+jSJRCKRSHhtdLkQiSr89zJGWTCnjnkz17Xy5GFBRVlbT//3bH2Gow1jJA0vit3iP4ajTd11hf5DtNPnHIRPnz51cnKSPKKwIJwzZ45k2Hh7e4tXzVeMFStWIIQUswNfQkKCQCAgCOLPP//U09NbvXo1Pm5ubq6A2sFHFRUVsdnvFhBhs9mZmZl9+/ZVV1ePiopSTAPw6ppyWlDmo44ePYoQWrVqlfhIbW3tyZMnBQJBTExMUFAQ3rZChp4+fYrHBEyYMEH8l8c6sTqPpNTUVIQQmUw+d+6cbNvcQulO79Jv13bihc1FTOZ051ZTEP9XvHnVx0tRuM+5a5RGo+Xn57dnOy6Z09TUlLwYwOPxqFSqYqomCOL69etRUVEmJiaBgYF4j1A5ycjImDx5squr66VLl/ARZ2fn3Nzchw8fyq9S0FG7d+/GX6AIodTU1JMnTyYkJMTExMhq9eeP6pILdW3Uji9gC4XCZ8+e2dnZyXZIeXp6upubW0VFhbu7e2xsbIu9/fDqPBEREVVVVampqT4+Pg4ODg0NDdHR0atXr+7Tp8/IkSN9fX3T0tJEIhFCaNWqVeILK4GBgdnZ2bt3775w4YKXl5cM29ySSMh9mNK5dUFVzfupaGm18QSioaGzzZKjzzkIdXR0vv766yVLlqSkpChsvCjm5OR0+/ZtfJvP5ycnJ+O9weQtISHBwcFhwYIF1dXV+Le/vb39gQMHeP8smCQbTCZz6dKlo0aNSkxM1NfXF3f4kEikU6dOrV+/HrbA/ZQNGjRo8uTJCquua4PQ3t6+R48ef/31V3FxMT5CpVLxTIMVK1aUlJQkJCTIqq7U1NTJkydXVVXNnDnz5s2bbazwglfn8fPzS09PZzAYgYGBU6dOVVdXx0vzODs7m5qa7t27l8PhvHjxAm8vyuPxeDzewYMHly9fLqsGt4qXlSmsr6WOHd+5l6sNHNzGZERu5pPitcvqrl4UlBa3pzQ+6w075lb9rWvcjD8Ioby+VT7nIEQI+fv7r1ixIjo6Oi0tbcCAAfb29s7OipjUuXLlSgaD4eHh8d13302YMMHLy0uuS0sghF69erVgwQI3N7dnz56ZmZkFBQUxmUxPT08ej0en04cOHSoOZinV1NT4+vpaW1uHhYWpqqp6enrm5OR888034lNPW1tbFxeXc+fOyaQ6IBNpaWmRkZGRkZFpaWmKr33EiBE6Ojr5+fniKFIkCoUybtw4hJD4tJjFYrFYrEePHt2/fz83N1dWI7qTkpLw3PbFixffuHGj/XPbaTTa+vXrb9++XVVVFR8f7+PjY2VlVVZWxuFwEEL79+/fsWMHvq0YjfeT1a2Hqhgad+7lPecuIWt84BeAurrhtj2qZn1rfwounOb4ZqZL5bH93Ef3CT7//eeK2PWlW1YVzf+iwm9P5bF9pVtWvZk6jvvkQeda9RFd3Tf72RKJRM+ePYuNjX3z5o1cK3r79q2np6eKigpCSFtbm06nS65wn5KSMnToUPxvPX36dGkGLDQ1NQUFBeGLHyQSaf78+QwGgyCIhw8fOjk5aWtrJyYmzpo1iyCIurq6YcOGmZqaSv/ugPSWL1/u5eV16tSpU6dOeXl5LV++XPFtmDp1KkIIj2RRvCNHjiCE1qxZg+/OmTPH2NjYw8MjIiKixS4Nnfbbb7/hPfBWrVolFAo7+nI+nx8eHp6Tk8PlckNDQ1ks1osXLwoKChYvXvzw4UN/f//t27cfPXo0ICBAJq1tW9HiaVU/npSmhLK9WwvGWb8/Uqby5GHxc5ryc2sunmOtWcoYZVHgaFPsvbLuRhi/vBQ/KuJxC+dOjhzS56dBvfDLs4b322muzxhn3fgoTaq31xoIwm6MzWbT6XTc/YJPzkpLS99/Gp/PDwgIwBdC8NTGpqamDlUkEokiIiJoNBoO1MmTJ2dkZBAE8fLly1mzZuGDvXv3vnTpEg5CgiCuXr3aq1cvgiAqKys3bdpUWVkZFRV1/vz5oqKPb+YCZGv58uWxsbH4dmxsbJcE4XfffYcQ6qqBxPg8eMiQIfgu3pgMU1NTc3V1/f7773Nycjpd/rVr1/B1x7Vr17bYfqidWCxWWVnZzp07jx49Wl5evmvXLnwcB2Fzc/Pw4cM9PT0VEISCirJ8hwHcrGdSlSIUVJ76jvGfgfkOAxhjrAqchzLGWleHnCZa++MIaqvZ8THlh3a8dhuVb9//zTy3yh/8yvZvZ4yz3tfHwLu3Lg7Cx7Z9Bmmo5tv3f+3qIOLzpWreez7/IAwICDh69GirCdF9NTc3BwUFmZiYiE/18vLy2n4Ji8USr4praWkZHx/fzroSEhLw3GSEkI2NTUREBEEQFRUVGzduxBdatLS0fHx86urqBAKB5Bg58W/t0NDQ0tJSLy+vM2fOQBAq3qcQhA8ePEAIWVtbK75qgiCampqoVCqJRHr27N33u3g1VMmVH/AC4hERES2GerYtNDQUfxB8fHykaWReXl5ISMi+ffsIgsD/S/wdhARBJCcnq6qqKiAI625dez3Znuj4Se373v7fwuI1HjVXgtl3o4V17TjzFgq4z55UBR4tWuyOw6/VICxwHtb4h4xPCj//INyyZcuGDRvEk9sUo7Kycs2aNZWVlSEhIYGBgbKdtxcVFTVw4ED80R0zZkxqamr7X5uYmCj+OTx//vy2fx9kZ2fPnz8fPxlfdxQIBA0NDX5+fnjvVgqF4unpWVxc3HalOAj37t1bVVUVGBjY/tYCafD//tV8/fr13NxcfDs3N/f69euKb0xzc7OWlhaJROqSn6S5ubk6Ojp9+vRB783eq6qqioiI8PT07N27tzgRNTU1XV1dAwICPnopQby2mTi6Oufp06fu7u5Xr169fft2QECAeHbE4cOHxVtq+/r63rx5U5pa2qNkm1fZXhlsYy5s5DDGWHJSf+/Ea0UCPsNhAA5CCw1VVx2qqw7VpafmuyAcO7j22mXpWyjp8w9COp0eHx/f/hMgWbly5UpZWRmdTsdtkEmZ+Goc/qxaWVnhk7OOam5uDggI0NLSQgjp6uoGBATgWYCSWr3uyOfzg4KCxN8Xrq6uz58//2h1XC73woULCQkJz58/Dw4Orqur60SbQUcdOXLk2LFjHfqRJG+urq4IIcXHcFZWVq9evRBC5ubmkpMZ9PT0Fi5c+NNPP5WXlxMEgXcb3rNnj4ODg+S09yFDhmzfvj0pKen9ko8dO4bntp84cUKub0EgEFy6dKnT/a7tJ+LzC8YPY8fJYIJpQ9JdxhgrEbfx409tpR2i/FEDcRB69dJJt+2bbts3YYgZDkKGo030gT0nTpxgMpnXrl0LDAzs6LWe933+QfjLL79cuHBBcvyIYuAg3LVrV319veQqMx8lFAozMzPFd3NzcxsaGnJycsQnZ4aGhgEBAXzpeskZDIa7uzsucMSIEbj7RQyvPKKmpubt7V1RUUEQRHx8/LBhw/Dz//Of/yQnJ0tTO5C3ffv2CQQCxSwf0U4HDx5ECK1fv16RlT59+tTQ0BD9Pbedz+eLZ++Jo45MJjs4OPj4+KSmpuJxLuXl5RERER4eHnize4TQsGHDWpSM1zYjkUg//PCDAt4IPp198eKFXGtpfHw/f6SFoFYG/Wflh3YUb1jR6ZfjRWpa7xodZ1336sWbN29CQkLodHpiYmJcXJyUrf38g7BL4KFfiYmJTCYzJCSkQ5ccOBxO//79xXenT59+5swZfBFCW1t7//79DQ0NsmpnVFQUntdBIpE8PDxw5hEEUV5evnz58vz8fIIgHj9+jOeBIYT69et3+fJlef8sBdLz9fXNyspS8HpGbcPb8r2fKPLz+PFjvLrbtGnTuFxui0cLCgqCgoJq4EonAAAY50lEQVTmz58veZpoaGg4f/78y5cv19TUEATR3NyclJS0fft2Pz+/srJ3y4xxOJysrCx9fX0VFRWFLZeD97g/c+aMXGupPHH47X/ny6Qopvs4aTowOQ/uFYyzeT8IGaMHstYs4/F4x44dq6uru3fv3o4dOxITE6VsLQThJ+f9IHzw4IG1tbWnp2dJSYk8qqPT6XjOk76+fkBAgHjwN5PJ9PDwwN1EBgYGfn5+PB5P5g0A8sBisaKiojoxjl9+eDyepqYmiUQS/96Sq3v37uGR0gsWLGh7Mc/Gxsb4+PiNGzdKTvZVUVFxcHCg0+np6ekikejgwYOGhoa45TExMZ6eno8ePYqMjFTAG8GCgoLwe5FrLW/mulZfkEHWNv31Kt++f3ORVKvLVp05/uw/Vo9t++AgzB3RP2mEReGM8YKa6qNHj544cSI9Pf2XX345ffr0+xd3OgqC8JPD4XCMjIx++tuIESMeP34s7wTKzc11c3PDXwFOTk4pKSk+Pj44HalUqo+Pz5MnT548ecJms3/++WcFLyAOPhsTJkxACN26dUveFd2+fRtPK1qyZEmHLiK8ePHi6NGjEyZMkNzk1s7O7uDBg25ubnjBUhyEcmt76/CCFcbGxjLvj2nKfVniu545dUzBxOH59v1rr8qgF6H6wpnCOZOlL4eTllS02J0xyiL/PwMLJo6o/OE7YSNH+mLfJ+2OxkAeRCKReFE0oVCIEGr/KhWdY2lpeefOnZ9//nn79u1paWlffvklh8NRUVFZuXLlgQMHzMzMcnNzY2JiKBSKmpqaeIY+AB2yb98+Eokk7+UGo6Oj58+fz+PxPD09z50716G9+oYMGYJHx3A4nMTExOjo6JiYGCsrK4TQwoULL1++jOeBKJ6VlZWpqWlxcfFff/2F2yMTtdcuVQceJZp5SETgI9VnjvEyn5gcOYXIKp0utvF+spaTDHZgpjpOoDpOQCIh0dxM+tBqNbLwmS+x1k316NFj1d/69u2rmEpJJNKyZctycnImTZokEoloNFpmZmZISIiZmRlCCH/2+vfvb2hoeODAAcU0CXxOGAzGvn37xo8fj1dgGTt2LIvFknkt4eHhc+bM4fF469atk2bfdi0trRkzZgQFBRUVFeFuSYTQ6dOnN2zYgH+bKh4eMS7DJVu5j+5XBx4NeF1ytbweH8nj8Zf8yeCkJlWfO9npYkX1dU3Pn1KdJsimlQghsopcUxBBEHa569ev+/n5lZeXBwYGnjp1iiCIrm2Pjo4OHlkwe/ZsyTO/u3fvPnv2rKCgIDc3F0cjAB1CEATeLxrD1+1kW0VoaOiyZcvwvu143z7pyySRSOKxo7a2tuPHjz9//rz0xXaCzNcurzxx8N0O8v9G8Bprw0JEjZ1c3bTxYQpJXV3DrjttzQ1do11s7ty5KSkpGRkZbDZbV1f31atXlpaWW7ZsET9h6dKlCg4e/G0lueIGQmjKlClTpkxBCIlXmQGgo5qamgoLC/FtyVCUiR9//HHdunUikWjfvn10Ol22hYvt37/f2tp6+vTpciq/DTgIk5KSZFKaqLGRzyzAtyv5wgIeHyH0tund9g4kiirvz4zObUDR+CBZc8x4kpqaTNqpGBCEXay8vPzp06ebN2/W09P75ZdfevToQaFQNmzYIH6CeDcyheHz+QghtW71/2PQLbx582b37t34tmx3ojh27Ni3336L57Zv3rxZhiVj48aNw2NQe/bseeXKldraWplX8VE2NjbGxsYlJSUMBsPCwkLK0kTsepKqKiHgI4Tus3klfCFCqF4gevcwQYjq6zpVrqjxQYr+um1SNk/BIAi7WGhoaN++fQsLCwsKCkaMGIGnzXYtHIQtzggBkN6gQYOuXLmCb0tOaZeSv7+/r68vntu+fv16WRUradKkSa3eViQSieTk5HTz5s179+5JH4QqBoY4BRFCs/S1Fhv2QAjl8fj7i6oQQgRCFFPzDhUoqCjjMxn8okJhTRV1nIuUzVMwCMIutm3bu59O/fv379KG/AP3WcEZIegW9u7de/DgQRUVlZCQEHnvWNvlXFxccBCuXLlSyqJIFArVcSIn9fdWH1VR19AYYtvOovisonL69ubsP5GqKiEUIESqvXDGYPMukrqGlI1UGBgsA1qCIATyQKVSR40aJb47evRoPHy0Q/Ly8jIzM/FtPp9/69atyspKNTW1a9euKSAFCwoK8C/Xq1evhoSENDY2yrvGFmR7mdBw216yBnWAhqqZ2rszIi0yaYSWOllT04ju387pE/yiQtbS6bEp9+q5jSIOm+Bx87hNf1wNLf6/Ba1ut/tpgiAELbU6WAYAKZmamgYEBIjvnj17Fq8C2iFJSUk3btzAtxsbG/Ho0IcPH86bN09mDf0wGo1mamqKEIqMjBQKhZ2em9Fpw4YNMzAwKCoqEo85kgalt5nZ/8LnWNIm9DJCiIQQMtfpuX2gmdEef2q7ZwGW7VgvamgILqmtFLybVfKQzU2srG0uyK+5fE76RioGBCFoCc4IQTdCJpMVP5LZxsZm6NCh9+/fV3C9ZDLZ0dERyW4ShZqldd/oNOP9x3QXr+g5d4nB1j39Yh5ofzGjnS9vLshrZjIIQvT+QyIetz7skkwaqQBwjRC0BKNGgfwIBIKwsDAKhTJ16tRbt26Zm5t/8cUXHSohOTl5165dCKGmpib5tPGDysvL1dTUnj175uTklJ2d/fXXXyu4AQihb7/9du3atTgOpRQfH19QUODs7GwzaeqJ+08WL/5GvNFpOzX/9YpEVsGzQYNK63pSyAihl43NY3poIIREXI6ovpbcU1f6psobBCFoCc4IgfyQyWRnZ+fz589bW1uz2eysrKwPBWF4eHhRUdE333xz4sQJOzu7BQsW4OMWFhZTp05FCHE4nKioKMU1HSFjY2M5jUptp8rKys2bNz9+/BjfnTZt2vHjx8VbbXfUpEmTcnJyampq7ty5o62tzWazO1wEmYz+XrTARYfaW/XflxVFhDTrtCkSdI2CliAIgfyQyWQqlUoQRElJCY1Gq66u/tAz3dzcSktLRSJRXV2d5BLYffr0cXZ2dnZ2Hjt2rEKa/AkhCEJyhA6XyxWJWumWbL/x48fn5OSEh4ezWKxXr1519OXqNsMI/rs5+IM1Ve201O201MVDb8i6umTtHtI0T2EgCEFLMFgGyA+Xy71x44aRkdGAAQMKCgramA9HpVIdHR0LCgpOnjz58uVLfvcZgihXAoGA9TcpV+f5/fff09LSJk6ceOHCBU9PT2dn546WoGreT2PocBKllZ5FsiZVd8VaaZqnSNA1ClqCa4RAfjQ1Ndeufff92HafXkxMTFlZmYuLy8WLFwcPHox/mbm6uopPiahU6qlTp+Td4E9NaWmpePJxXl6eNEWJ101ECFlaWnauEOPDAaylM7b34Zn83S86SYcqUNNQtxupu7ALrqF2DgQhaAm6RsGnYO7cufiGp6en+CCNRhPfVlVV/fLLLxXdrK5mbm5+9epVfLur1riRRDEyMQ+P0zi2n5N4m6SugUREXy2ku3y17govpPDpJZ0GQQhagiAEALQTn8+vamrudeRUY+0+XlFhDx1dVfO+3SgCMQhC0BIEIQCfJjU1NcnVeYYPH66lpdWF7UEI/frrr/n5+e7u7v/73/80NDTodLpqd0tBBINlwPtgsAwAnyYdHZ2LFy+K7544caLL1yieN2+evr6+jo4Ol8utrq7upj+gIQhBSzBYBgDQThcvXqRSqWQy2dTUdPjw4W/evOnqFnWGyr59+7q6DeDTUlZWZmVlNW3aNG1t7a5uCwCgFVFRUXfu3LG0tAwODu7fv38XflRVVFT09fWNjY0HDhzYt29fKyurrmqJNEgEQXR1G8Cn4tq1axYWFvgiRH5+/t27d8Uj3QEAn47a2tp79+6Zm5uXlJRYWFh0enEZgEHXKPjHw4cPGQwGvl1WVpaQkNC17QEAfEhOTo69vb2KSvdYw+wTB0EIAADdzKFDh/r161dcXPzq1ausrKyubk63B12j4B/e3t537941MjJCCNXX19NotJs3b3Z1owAAQL7gjBD8C51OT0lJSUlJOXPmTFe3BQAAFAGCEAAAgFKDIAQAAKDU4Boh+AebzVZVVdXQ0EAI8fl8Doejq9sNdpcGAABpQBACAABQatA1Cv5FvP2pUCjs2pYAAIBiwO4T4B8JCQl//fWXgYFBfn6+hoaGi4vLyJEju7pRAAAgX3BGCP7h6uo6ceJEkUjE4/Fyc3MNDQ27ukUAACB3EITgH8+fP4+NjZ01a5ZQKPT29k5JSenqFgEAgNzBYBnwj/v37xcXFw8aNEhdXT03N3f69OkUCnSeAwA+cxCEAAAAlBp0jQIAAFBqEIQAAACUGgQhAAAApQZBCAAAQKlBEAIAAFBqEIQAAACUGgQhAAAApQZBCAAAQKlBEAIAAFBqEIQAAACUGgQhAAAApQZBCAAAQKlBEAIAAFBqEIQAAACUGgQhAAAApQZBCAAAQKlBEAIAAFBqEIQAAACUGgQhAAAApQZBCAAAQKlBEAIAAFBqEIQAAACUGgQhAAAApQZBCAAAQKlBEAIAAFBqEIQAAACUGgQhAAAApQZBCAAAQKlBEAIAAFBqEIQAAACUGgQhAAAApQZBCAAAQKlBEAIAAFBqEIQAAACUGgQhAAAApQZBCAAAQKlBEAIAAFBqEIQAAACUGgQhAAAApQZBCAAAQKlBEAIAAFBqEIQAAACUGgQhAAAApQZBCAAAQKlBEAIAAFBqEIQAAACUGgQhAAAApQZBCAAAQKlBEAIAAFBqEIQAAACUGgQhAAAApQZBCAAAQKlBEAIAAFBqEIQAAACUGgShLOXl5ZWXl3d1KwBQUq9fv2axWF3dCtD9kAiC6Oo2fD6MjY2XLl168uTJvLy8jIyMefPmUSgUeVSUmZlZVFQ0Y8YMGZbJ5/Pj4uLy8/MNDQ0nTJjQp08fyUebmppiYmJoNNrw4cNlWCkAMjRixAhLS8vw8PDi4uKUlBR3d/eePXvKo6LCwsLHjx9Pnz5dU1NT5oULhcJbt24RBDFkyBAbGxuEUFpaWklJSYun6erqurm5ybx2JUUA2TEyMtq0aRNBED/88ANCiM1my6miTZs2mZiYyLDAFy9eWFhYaGlp2djY6OjoqKurBwUF4Ydqa2sDAgLMzMwQQrNmzZJhpQDI1vDhwxcsWEAQxK+//ooQevHihZwqunz5MkLo7du38ij82LFjGhoaCKEDBw7gIwsWLND7NwqF4uDgII/alRN0jcqFl5cXm83W1taWU/mHDx/Ozc2VYYErV64cOnRoaWlpdnZ2SUmJq6vr+vXrq6urEUJz5sy5cePG5s2baTSaDGsEQH6mTZvGZrOtra3lVP6iRYuqq6t79+4t85KZTOa+fft27doleTA8PLxaQn5+voaGxuzZs2Veu9KSS8cdqKyszM/Pd3R0JJPf/dSoqKh48OABm802NTWlUqmGhoYDBw78aDklJSUPHjzg8XgjRozAnSTY27dvS0tLx48f39zcnJKSMnbsWB6Pl5SUJBKJXFxcTExMhEJhampqSUnJkCFDbG1tP1pRbGwshULBya2pqfnVV1/FxMTk5eWNHj367t27KioqCKErV6508s8BgGLV1dVlZ2c7ODhQqVR8pL6+Pi0trbq62tDQ0NDQUE1NrT2fi7q6utTU1JqamkGDBo0ZM0Z8vKqqKjs729nZWV1dPS0tzcLCQldXNykpqaamZuTIkVZWVgihZ8+e5eTkmJmZOTk5ib8H2kYQhKenZ//+/bdu3bpnz54PPe3cuXMikcjLy6s9ZYJ26epT0s/Kh7pG/fz81NXVe/bsaW1tjS8q+Pr6frS0wMBANTU1Y2NjGo1GIpF27NghfkjcNVpaWooQ8vb21tHRsbGx0dXV1dbWjo6OHjVqlKmpqYWFBUJo586dHX0j8+bN09HRqa2tlTxoZ2cHXaPgU/ahrtHQ0NCePXtqampaW1vjq4bz5s37aGmxsbG6uro6OjpWVlZkMnnmzJkikQg/JNk12q9fv6+//rpPnz4WFha9e/cmk8lBQUFLly7V1dW1sbEhk8lTpkwRCoXtaX9ISAiJREpLS+Pz+Uiia1QSj8fr3bv3mjVr2vk3Ae0BXaNyFxkZ6evru27duurq6pcvXzY2Nqqrq3/0VRkZGd7e3l5eXsXFxQwGY+fOnUePHs3Ly2v1yXfv3n38+HF2dvbr16+1tLRmzZq1du3at2/f5ufnr1271t/fv6ampj1NjYuL8/X1HTt27KNHjyIjI3V0dDr2VgH49KSnp69YsWLq1KmVlZUvX76sq6uT7Fz5kOrq6kWLFo0dO7a4uDgnJycsLCwqKuq3335r9cm//vrr5cuX8/Pz37x54+Li4uXlZWxsjC80XLhw4e7du0lJSR+tsbS0dNu2batWrXJ0dGzjaT///HNpaemGDRs+WiBoPwhCuTt79iyNRvP398cdjO30yy+/kMnkrVu31tfX19TULFmyRCgUxsXFtfrk9evXW1paIoR0dXUdHByGDBmyYsUKEomEEHJzcxMKha9fv25PpYWFhdnZ2WVlZQRBVFRUtL+1AHyygoODNTQ0goKCxN2k+KPRtoSEhPr6+q1btzY1NdXU1EyZMkVPTy8mJqbVJ8+ePXvixIkIIQqF4uLiQhDEkSNH8O9dV1dXhFB+fv5Ha9ywYYOKisrhw4fbftqpU6dmzJghv8ufygmuEcpddnb2xIkTOzqPgsFgCASCfv36SR4sKir66AtbnG6qqakhhHBPy0etXr169erVIpFo69aty5Yta+f1RQA+ZdnZ2VZWVrq6uh16FYPBQH/HmNiHPoCSyYo/cWL489jc3Nx2ddHR0ZGRkaGhoYaGhm08LS4u7vnz54GBgW2XBjoKglDuqFRqOy+Vt3hVr169Xr58KXmwPX2q0iOTyatWrQoICEhISIAgBN0dlUoVCASdeBVCKD8/X19fX3xQTtOCEUI7duxACG3YsEGyz/O7776Liop68uSJ+Mj333/v4OAwfvx4OTVDaUEQyt3AgQPT09NFIhGOw8LCwvacnw0ePPjChQtVVVXtGVwqvfT0dAsLCz09PXy3rKwM/f1dAEC3NnDgwLCwMDab3aNHD4QQh8MpLi7+aNfi4MGDEUJZWVmKmaWwc+dONpstvisSidasWePm5rZkyRLxwaysrN9//z0sLEwB7VE2EIRyt2LFimXLlm3ZssXb27usrGzjxo0ikeijr/Lw8PDz81u0aNEPP/zQr18/BoMRGxt76NAh/JtUHKsyIRAIli1bRhDE8ePHLSws8vLytm/frqen99VXXyGEKisrMzMzEUJsNruioiIhIUFNTQ1+k4Lu4uuvvw4ODv7vf/974MCB5ubmnTt3tmfs2OTJk4cOHbpx40Y1NTU7O7uSkpKoqCgvLy9TU1OEEP4Iy/AzuHjxYsm7AoFgzZo1I0eOXLhwofjgsWPHzMzM5s6dK6tKgRgMlpElCoWCR8SQyWQVFRV85WDp0qXHjx8PDw+n0WhTp0798ssv29PDaWJiEh8fr6qq6uTkZG5uPn369NLS0rq6Ovwok8k0NzeXYbPv3LljY2Mzd+7cIUOGfPXVV0ZGRgkJCSYmJgihR48eubm5ubm5FRQUPHjwwM3Nbf78+bKqGgAZavUDOHbs2NDQ0IyMDGtr67Fjx/bu3XvQoEHtKSouLs7W1nbWrFnm5uZOTk5//vlnfX09fpTJZKqrqxsbG8v17UhisVjh4eGbN29WVVVVWKXKA9YaVZza2lo8IUFNTW3Hjh0HDhxgsVhv3759/5kGBgbiHtGGhgYejyd5Cb24uHjQoEF79uzx9fXtUAOePn3aaq+sjY0N7jXicrllZWX6+vpyWqERgC7EZrM1NTUpFMrgwYPt7e3DwsKqq6tbnZKkpaU1dOhQfJvL5bLZbCMjI/GImObmZltbWzs7u/Dw8A41IC8vD6/W1ELfvn3lsUgN6IAuncWojPAH79KlSwRB0On0Vv9RFi5c2EYJc+fOtbS05HA4Ha3ayMio1eqSk5M7/34A6FY4HA6VSt29ezdBEFevXm31E2Fra9tGCYcPH+7Ro0dBQUFHq541a1ar1R05cqTz7wfIAlwjlLtbt25dvnx50aJF/fr1q62tPXz4sI6OzhdffIEQ2rZt2+rVq99/SRtL2jc2NtbW1kZHR3diJMuLFy+EQuH7xw0MDDpaFADdRWZm5pYtWzw8PCwtLXk83unTp/l8/pw5cxBCs2fPLi4ufv8lbXc/vnz5MjIycsCAAR1tycWLF3k83vvHoQOmy0HXqNxlZWWdPXs2OTm5sLBQV1d3+PDhBw8edHBw6Op2AaAUmEzm2bNn4+Li8IU9GxubnTt34l+iAGAQhAAAAJQajBoFAACg1CAIAQAAKDUIQgAAAEoNghAAAIBSgyAEAACg1CAIAQAAKDUIQgAAAEoNghAAAIBSgyAEAACg1CAIAQAAKDUIQgAAAEoNghAAAIBSgyAEAACg1CAIAQAAKLX/B8kedHbQRZm9AAACInpUWHRyZGtpdFBLTCByZGtpdCAyMDI1LjA5LjQAAHice79v7T0GIBAAYiYGCFAAYkUgbmBkZNAA0oyMbA4gmpmFWBqmTxBsFiMbA0SYA0IzsUNoZkLGs0NoZlzGY5iDZg8b2Hq4ckI01LUwLjcDI9DpGUyMTAlMzBlMTPJAkxOY5RhYWDOYWDgVWNkSWDkY2NgZOLk0mDi5Fbh5GLh5FXiFEnj5Mpj4+BP4ZBn4BTKY+GUYBAQTBIUymARFFISEGUREGUTEFMTENZjEJBgkJBkkpBgkpBmcQGHPxsjEzMLKxsbHLyAoxCvexQh0BQMsTo6IPD5g68PnAOJMFdh14M+dHfYg9qFv/QcqurjA4mpPfQ8URW4Ei+cKBBxQWvByL4jNqTTpwLvFoftBbAu13QfYzyeBxbkdnh64NccNLL7WfPKBrUmiB0BsOYE/+5lWp4DFw4wZDlSpSILFlweq7094Y7APxO5eIrf/xdWVYLsunVewF9tUDFa/VUnC3v6ZDFi9uNIH+/+H/cDsjS4+DiwrFMDsH/l+DlNjGsHqTc7/sF/PkQs285DqX/u4oEVgM88HTnSonzQFLP4vdJeD/IMOsPqi9EkOV87NAqtpOxbkENz1D8x2bdzjcJLtO5jtUbzUgWu7PzhMnPovO/yxkwWLS8x+5hA/XxMs3nn6tf2duOlg9zxYbbHfiskbzGZK/rx/8wk2sBr5h30HjFqywGwxAOTPlV+7zD0fAAAC+HpUWHRNT0wgcmRraXQgMjAyNS4wOS40AAB4nH1Vy25TMRDd9yv8A72ap+1Z9iVAqIkEhW1XCBWVHf8vzjipbyosbhIpnhzPnDOvvL78fP7x6/ez8lXJ58v955c/ZT5yfwU7/ecdEeW7EtHVY8kv5fbhw6dDuXu6uX2z3B2/HZ6+FpWiijtU+D325un4+Gbh8rFct42iSvcim4ga4dZG4ykzjJS7cu1bZ3OxwpuZidkCqAm0zaL3JvDI1RrJAmgJ1E24MTM8ane3FdDPQGcCtWvamI2aL5D1FNtrre6J7GquKzntLMe6cU0kuWtbIfspQ5BBtSeyNe/KC2SUu9cMX4nc4FQ2VWOnBZQp4/MWNQSak2koUr+CcjmmL2hnSEmvgVqtCLCUQ/qqrh40MtWktbaCasoClEGhZ/aldltSzToBKB2FyivhHFpXSB9ID5NOSdSckdUVMgvFW2+VEDNrq9R4iWyQpBsH1xji0QTiq9pzh094wq/dMrfEVLWvkDGih2mX0U+ibG2FFEKWgEQOIY435Ig1VkAGTTSesehoJwnivkqnCFyi8UQi2qAJYcvES04SfDZnyQoJgfGqlpjHYyoP1dqSbu8eqwJJFgixgxq4ASjRY5VLqYMkN1LwhWvDaC5DNwArugi6M4GVTZYzLDlGDRqqaW6F6qS+BMZIeTdhi5ympqS6yo/SqYWbcE4uugjdTrwaDIxrjiYUE/ZX5FaiOhD/QrM+ub8qNhiOWwVjXtX84XD/bpWeluvt8XC/L9d8yb5CDZ+2L8o86r4OLU370mMcdV6uA+D7/uLEz83e88dS91XE6eFy3xhczNi5cHGOi83B8Nkv1oPkJZ4BsAZ4WCajnIhxcUrAWJ8sUwXG18bVPVI/W6YUJNeGs8leRuocFb6YLxvupwJJxrDI9CyZUATkqUIyZQi4R5fBucPfRatzUpDLnuYMKHvh+tkylaJLJQPKVDrKnZapS0fx8ac6damcLXsP6NkyOWdXXfZQnt/+3PH96i/qeYhiw6BnTwAAAgl6VFh0U01JTEVTIHJka2l0IDIwMjUuMDkuNAAAeJxNkjtvFEEQhP8K4SHNjfo5jz4ROXFkyC0H6EQGGCGH/vFU7yLo4Oama7tmvq7d58eXO/+8X54uz48vHx8unz5jye2x5O9+OdfScZf75eH7vydllZQZ2w/vF+7LhL1drU8l1XaDMgdZu2oXpcntpp03j92u0p1JPBUR99Wu3IlpWLtZd2OBi7ps4tVu3pfo0TG2nh3TWRt3oW12HLJVJ4S91jgMm+bKWvbaKfAklYZGc8e1ow/OSwj/JibtNnHYMG3Sh5N60m/TJQeHsuG4lObEHLh4LMbFsMtiKGjazltxObbD1XdqPAWGU+M9diIpvLBiHAjnnGur5GCIhUgxGTa6ZYEis/PjfGajmQrGH2P4YVTzTBraIMJgaVTjbEMIhjeSbXiiE+PfrrPzwDEpzulL+WxkcwGaGbI4umhjMGQhJ5d1Q7ITAuzzFAYkBDoQmpycCCKz0eX+d0BiG2mikVn5NhwKRHPOl5AQwiDLLwRREbeP7evb648vv19/BfXcPr2+feuygv9X7CGlGqGlmmHFR+Gl4hilkpil0lilstil8uAKM4ILjczgigPUyrODCxBrcCFiDi5ILMGFCdbCxBRcoCykMCGRgrRCCtEIKUAzpPKEFBwKqQGFFBhFa6HRkAKjFFpo2EJrQvv9D9/fIPruRVhMAAAChHpUWHRyZGtpdFBLTDEgcmRraXQgMjAyNS4wOS40AAB4nHu/b+09BiAQAGImBghQB2JNIG5gZGTQANKMjGwOIJqZhVgapk+QQQFEszFAhDkgNBM7hGYmZDw7hGbGZTyGOWj2sIGtZ8FKwfRQSkO9CONyMzAC/ZvBxMiUwMScwcSkBnROArMqAwtrBhMLpwIrWwIrBwMbOwMnlwYTJ7cCNw8DN68Cr1ACL18GEx9/Ap8KA79ABhO/MoOAYIKgUAaToIiCkDCDiCiDiJiCmLgGk5gEg4Q0g4Qkg4QSg6QUg6QCg6Qig5Q0g5Qcg5Q8g7QMg7QsgxMz0ClsjEzMLKxsbHz8AoJCvCySUtIS4vcYgU5kgMVyl96uA0GGTAdAHLXu6Qdq39ftB7GvPgk6cOX/FjCbbx7vgZ3BB/aB2Ps7VA7wxXXZg9jSsQ0HVJ7tB7PrGRYf+PbmtR2IbS158cBytkSweMml7gMTdGwdQOwPzfv2Vy1hB7MDI9/s/3E3BcxmUXDZe+/ATbD6vpwW+0eh+mDxtovz7ATyq8BmRmxy3c9h5Q12jxb/lX0MHAJgN6vGN9tzn9ECsyO/sTkYrL0AVhMo/sB+/kVDsJvzg0wdUhNjweZfVE92WCzFDFbfJFTloBiSAGb7mE9xSPBqBOt11Wx2WL/zBNhejoBDDqWXtoHFeTedd+Cz9bABsU+e+uuQf+882PwjGR8cuqPegNXsY3vssDcuCGzmAQd+x8CPEHce/ijqmPw/CKwmfRqrY0h2C9g9wiJ3HbI+7wSzP0xa7FAUIQVmM73b4rB5ljlYb8TE/fuLayFm9p4/sd+g0Blszov+rP0rF08As1V+WR/I2AlRLwYAywGzAASuFZIAAAOAelRYdE1PTDEgcmRraXQgMjAyNS4wOS40AAB4nH1Wy25TMRDd9yv8A7mal+2ZJU0RIEQqQWHLCiEQ7Ph/ccY39U2FxU0jJZPjeZwzM+6vH9+/fvv5+6v1u5LPx4f3P/6U+cjDHez0n7+IKF+UiO4+lPxQ7l+/eXcp56dX98+W8+Pny9OnolGMcYYKv8S+enr88Gzh8rac6uacr3KSjdSk4dBG4ykzjpRzOdnWtXZt5URbRHWTBVITqZtEFe7lxJuxUe0LpCVSNmHpXdKn9tqQ97/IuiNrJ7dWeCMHE3UBbHuaxKwtgRYhzAtgT2DdKNQ567VGPVbleFLUtqqmmkDvQeQLYJTzr4ytLcxA2BYVDK2SRMDzIMbdiIFkDpC0QnJ5TCSqtt6KgoFGtorOUi5JIVl3F1TewUEskYqKOJUG2QjeNRqv5OHUB6Iw8WBGDCeWWQ55aIOKUnV8Aq11CW07FOVy96F+RUHLPDsqQp7S1EZvtuadlk4dTsEiefeWdDUl8SXzECm5qdR5dByjm+uqP4TAkmyuyrWl7CnAiiVhpAlhLJTqGCHzSkuXApe6BXV1yhGpVFlXaUrOkKEMRqZZEDF6btWdYmgQ9Hug9CRRQ2g5lZIatY0gUYvRfOKy7A9pA2mRheTvLHhWwJyhvgUaBLKkqFQjVgKJD2TFoHtc+xmlr5ABjjrqMeyZsUaguS7XTArkGDKM5d5IUEhWy0NzywWWC1cZ3eliQkukDJ9qIdB/nxFZCaQ5Qw1SIrsEAtZtpbkagBUDzmhe/N5Igpfl1AFsFSRaluPNfTmWWL9vh4DRmlw5cjTVCtp3aIUvHRJ1DJO1FdTH+sJe5ybV8xRLrOXUFAkpBihFs2WynVqs6n99eXhx4exX0P3j5eG4gvIlxz1jePfjMsmvetwYlqbjWmB81Ti2fwLqseM58X6scvxY2rGwOT3crmWDixmbM7FWpnfoxvA53aGBJQ/xvGCxMXlYZjmcKebBWQI24G6ZVUBlG0ePSH61zFKwuGw4m9nLoK5C45tNZMP9YcmMYdHjVBKKgDyrkKQMAY/oMnJ2+LtZCZwpyO3scwaUQzi/WmalGEbJgDIrHXKnZdalQ/yK0zczuFtmzhi2YdHjVPKMpOTok7pbdEbXdrUc0UfO/TaW7xadlWpcLbMuGzmDjcmP8W7RF11+29P5/flfMny++wtX9tlGctZS1AAAAnF6VFh0U01JTEVTMSByZGtpdCAyMDI1LjA5LjQAAHicZZI9axxBDIb/Ssoz7A36HI20pHLjyklvXIQjXWKH4NI/PtJuiAXhuGX0rqR59GqfHp5v+HK7PF6eHp7v7i+fv9zd099zPf87ni/rf7ucz1Z6o9vl/se/N+1JJWMeP71frjjE56TtyoPWctz2KwxBQVvblQYpiG87DqDJUsqcy7adBsIy37J+MlCm8FBxxkoBWVqCg/GqzgqKvO2SuWhaRYAAqxTwagODnUBo2+cAI7LKEVpZpGOqgFbfNdfKFBuKdN69ZCqWAi5q5xAGWbWGK580NMW4cg66HA7UXbbdBxsqlbRICLyqWJxoSz4W5aIRz2mSD5CIcJbkOXmmiJJJ8SHirBFm+oBUZpmCHXeh8QGY7EkzM2klzUwDc2IEdEqJRHTKYTyI5YiY3Q3OVgUyNxrGnlvay5a1JAVEFzyENCER02Wb6dOeI6tBbiCLV2WkyYh8ILvTqfB0qS6uuupqTQc5s9OeCeZ10xzKwlzM5se2ss5Yc+gkdc9COioX5u/YOwulQ7UF17SxYFFgHkyebh8fUC4o7SqJco1Wzdh0sh8OOE7SVaVI7qdm+UXkNuqUkCrH1Jofw6nlhylzu9u+vb3+/Pr79VfAqOPj69v3wRr4EaEGtWgGt8hCPiKC0BZhzBZRWIs4VoskvN0ugQ2GLLDR0ApsOOSBjYdmYANiCGxEjIEdKcdsTEyBDYo5sFHhCmpU6EHdIw7qJmFQd4mCGlWWNiiEoAYlQY0prW9IidCIchENyII7T3DDgeDuUXC3aAV3i4IbDGfXRoMS3B2a738ANQliseD96ZIAAAAASUVORK5CYII=", - "text/plain": [ - "" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from IPython.display import Image\n", - "\n", - "# mappings can also be saved to file if required\n", - "edge.draw_to_file('tyk2_edge.png')\n", - "\n", - "# load it back for visualisation\n", - "Image(\"tyk2_edge.png\")" - ] - }, { "cell_type": "markdown", "id": "8e119e3e", @@ -2447,606 +2621,347 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 17, "id": "0be4c1f4", "metadata": { "id": "0be4c1f4" }, "outputs": [], "source": [ - "# Convert to graphml\n", - "with open(\"network_store.graphml\", \"w\") as writer:\n", - " writer.write(mst_network.to_graphml())" + "with open(\"tyk2_mst_network.graphml\", \"w\") as graphml_file:\n", + " graphml_file.write(mst_network.to_graphml())" ] }, { "cell_type": "markdown", - "id": "feb4d54a-01a8-4bbe-ac13-1a15cdb79254", + "id": "eb657e1f-5897-4c1d-b37a-2c7db3b8f0b2", "metadata": {}, "source": [ - "## 2.3. Defining the Chemical Systems" + "
\n", + "\n", + "**Learn more:** [Creating atom mappings](https://docs.openfree.energy/en/stable/guide/setup/creating_atom_mappings_and_scores.html) · [Plan a ligand network](https://docs.openfree.energy/en/stable/cookbook/generate_ligand_network.html) · [Define a ligand network explicitly](https://docs.openfree.energy/en/stable/cookbook/hand_write_ligand_network.html) · [Visualise a ligand network](https://docs.openfree.energy/en/stable/cookbook/ligandnetwork_vis.html)\n", + "\n", + "
" ] }, { "cell_type": "markdown", - "id": "cc80f3fb", - "metadata": { - "id": "cc80f3fb" - }, + "id": "a77db32c-8f4b-4bac-ae9e-be4ad0ecbd6e", + "metadata": {}, "source": [ - "`ChemicalSystems` are OpenFE containers which define the various components\n", - "in a system of interest. You can consider `ChemicalSystems` to be the nodes\n", - "along an alchemical network which are connected by edges which carry out\n", - "calculations along Alchemical states to get free energies.\n", - "\n", - "`ChemicalSystems` take in:\n", + "## 7. Protocol settings\n", "\n", - "1. A dictionary of the chemical components (e.g. `SmallMoleculeComponent`,\n", - " `ProteinComponent`, `SolventComponent`) defining the system.\n", - "\n", - "2. An identifier name (optional), for the `ChemicalSystem`. This is used as part\n", - " of the hash identifier of the `ChemicalSystem`, and can help distinguish between\n", - " otherwise comparable systems." + "A `Protocol` defines *how* a free energy difference is computed: the force fields, sampling method, simulation lengths and so on. Its behaviour is controlled by a settings object, and `default_settings()` gives the recommended defaults. The settings are grouped by what they control:" ] }, { - "cell_type": "markdown", - "id": "f5506f1a", - "metadata": { - "id": "f5506f1a" - }, + "cell_type": "code", + "execution_count": 18, + "id": "fc60d250-bbcd-4ec0-99fe-812a24634c12", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "forcefield_settings OpenMMSystemGeneratorFFSettings\n", + "thermo_settings ThermoSettings\n", + "protocol_repeats int\n", + "solvation_settings OpenMMSolvationSettings\n", + "partial_charge_settings OpenFFPartialChargeSettings\n", + "lambda_settings LambdaSettings\n", + "alchemical_settings AlchemicalSettings\n", + "simulation_settings MultiStateSimulationSettings\n", + "engine_settings OpenMMEngineSettings\n", + "integrator_settings IntegratorSettings\n", + "output_settings MultiStateOutputSettings\n" + ] + } + ], "source": [ - "In the case of a relative ligand binding free energy calculation for `lig_ejm_31` -> `lig_ejm_47`,\n", - "four `ChemicalSystems` must be defined:\n", - "\n", - "1. `lig_ejm_31` in complex with TYK2 in a box of water\n", - "\n", - "\n", - "2. `lig_ejm_47` in complex with TYK2 in a box of water\n", - "\n", - "\n", - "3. `lig_ejm_31` in a box of water\n", - "\n", - "\n", - "4. `lig_ejm_47` in a box of water\n", - "\n", + "from openfe.protocols.openmm_rfe import RelativeHybridTopologyProtocol\n", "\n", - "Here we will be passing the previously defined `SmallMoleculeComponents` for `lig_ejm_31`\n", - "and `lig_ejm_47`. We will also pass a `ProteinComponent` generated from the PDB file\n", - "present under `inputs/tyk2_protein.pdb`. Finally, instead of passing\n", - "in a specific box of water, we will define a `SolventComponent` which will contain\n", - "the necessary information for OpenMM's `Modeller` class to add water and 0.15 M NaCl\n", - "around the solute when creating the OpenMM simulation objects." + "settings = RelativeHybridTopologyProtocol.default_settings()\n", + "for name in type(settings).model_fields:\n", + " print(f\"{name:25s} {type(getattr(settings, name)).__name__}\")" ] }, { - "cell_type": "code", - "execution_count": 19, - "id": "0b6c9ec3", - "metadata": { - "id": "0b6c9ec3" - }, - "outputs": [], + "cell_type": "markdown", + "id": "b65d0967-cc26-4354-aa49-bf28ab04f3c9", + "metadata": {}, "source": [ - "# First let's define the Protein and Solvent Components which we will be using\n", - "from openfe import SolventComponent, ProteinComponent\n", - "from openff.units import unit\n", - "\n", - "protein = ProteinComponent.from_pdb_file('inputs/tyk2_protein.pdb')\n", - "\n", - "# Note: the distance from the solute to add water is not defined here but in the\n", - "# the relevant RBFE solver method\n", - "solvent = SolventComponent(positive_ion='Na', negative_ion='Cl',\n", - " neutralize=True, ion_concentration=0.15*unit.molar)" + "Each group can be inspected in the same way, for example the simulation lengths and sampler:" ] }, { "cell_type": "code", - "execution_count": 20, - "id": "8c6d6504", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 317 - }, - "id": "8c6d6504", - "outputId": "47026705-938a-4e62-f1af-66e9c50334aa" - }, + "execution_count": 19, + "id": "33bc37fd-fc21-47da-9637-d4798aa9c80b", + "metadata": {}, "outputs": [ { - "data": { - "image/png": "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", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "{'early_termination_target_error': {'unit': 'kilocalorie_per_mole', 'val': 0.0},\n", + " 'equilibration_length': {'unit': 'nanosecond', 'val': 1.0},\n", + " 'minimization_steps': 5000,\n", + " 'n_replicas': 11,\n", + " 'production_length': {'unit': 'nanosecond', 'val': 5.0},\n", + " 'real_time_analysis_interval': {'unit': 'picosecond', 'val': 250.0},\n", + " 'real_time_analysis_minimum_time': {'unit': 'picosecond', 'val': 500.0},\n", + " 'sampler_method': 'repex',\n", + " 'sams_flatness_criteria': 'logZ-flatness',\n", + " 'sams_gamma0': 1.0,\n", + " 'time_per_iteration': {'unit': 'picosecond', 'val': 2.5}}\n" + ] } ], "source": [ - "# Extract the relevant edge for the lig_ejm_31 -> lig_ejm_47 transform in the radial graph\n", - "ejm_31_to_ejm_47 = [edge for edge in mst_network.edges if edge.componentB.name == \"lig_ejm_47\"][0]\n", - "\n", - "ejm_31_to_ejm_47" + "settings.simulation_settings" ] }, { "cell_type": "code", - "execution_count": 21, - "id": "23b778d6", - "metadata": { - "id": "23b778d6" - }, - "outputs": [], + "execution_count": 20, + "id": "b5bb93da-de81-411f-a7fc-faf700028c92", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'box_shape': 'dodecahedron',\n", + " 'box_size': None,\n", + " 'box_vectors': None,\n", + " 'number_of_solvent_molecules': None,\n", + " 'solvent_model': 'tip3p',\n", + " 'solvent_padding': {'unit': 'nanometer', 'val': 1.5}}\n" + ] + } + ], "source": [ - "# Let's create the four ChemicalSystems\n", - "from openfe import ChemicalSystem\n", - "\n", - "ejm_31_complex = ChemicalSystem({'ligand': ejm_31_to_ejm_47.componentA,\n", - " 'solvent': solvent,\n", - " 'protein': protein,},\n", - " name=ejm_31_to_ejm_47.componentA.name)\n", - "ejm_31_solvent = ChemicalSystem({'ligand': ejm_31_to_ejm_47.componentA,\n", - " 'solvent': solvent,},\n", - " name=ejm_31_to_ejm_47.componentA.name)\n", - "\n", - "ejm_47_complex = ChemicalSystem({'ligand': ejm_31_to_ejm_47.componentB,\n", - " 'solvent': solvent,\n", - " 'protein': protein,},\n", - " name=ejm_31_to_ejm_47.componentB.name)\n", - "ejm_47_solvent = ChemicalSystem({'ligand': ejm_31_to_ejm_47.componentB,\n", - " 'solvent': solvent,},\n", - " name=ejm_31_to_ejm_47.componentB.name)" + "settings.solvation_settings" ] }, { "cell_type": "markdown", - "id": "1702be9c-a30d-43dc-a291-fefab56a4433", + "id": "db2ddcbb-5c4e-4de9-a6cd-18380bc386e4", "metadata": {}, "source": [ - "## 2.4. Defining the RBFE simulation settings and protocol" + "The defaults are a good starting point for most systems. The settings most often changed are the simulation length (`simulation_settings.production_length`), the number of independent repeats (`protocol_repeats`), the number of λ windows (`lambda_settings.lambda_windows`), the solvent padding and box shape (`solvation_settings.solvent_padding` and `solvation_settings.box_shape`) and the force fields (`forcefield_settings`). See [Choose and configure a protocol](https://docs.openfree.energy/en/stable/cookbook/choose_protocol.html) for how to change them, and the [settings reference](https://docs.openfree.energy/en/stable/reference/api/openmm_rfe.html) for every option.\n", + "\n", + "Here we change one setting for the whole campaign: the small molecule force field, to OpenFF 2.3.0, to match the AshGC charges assigned in section 4." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "2b9518ba-3879-4750-af4b-23bd8fde848f", + "metadata": {}, + "outputs": [], + "source": [ + "base_settings = RelativeHybridTopologyProtocol.default_settings()\n", + "base_settings.forcefield_settings.small_molecule_forcefield = \"openff-2.3.0\"" ] }, { "cell_type": "markdown", - "id": "d795f993", - "metadata": { - "id": "d795f993" - }, + "id": "15d5d1e1-bbee-4f8e-b14d-e4bee5492d7e", + "metadata": {}, "source": [ - "Now that we have a set of atom mappings defined, we know which atoms should\n", - "undergo alchemical transformations to capture the free energy cost of\n", - "transforming from one ligand to another.\n", - "\n", - "To simulate this transformation, we use the equilibrium RBFE protocol\n", - "implemented in OpenFE. This uses OpenMM to run a Perses-like relative\n", - "ligand binding free energy calculation using a single topology approach.\n", - "\n", - "To achieve this simulation, the following steps need to happen:\n", - "\n", - "1. Create OpenMM systems of both end states\n", - "\n", - "\n", - "2. Create a hybrid topology based on these defined end states\n", - "\n", - "\n", - "3. Set an appropriate Lambda schedule\n", + "### Adapting settings to each transformation\n", "\n", + "Some settings should depend on the transformation itself. `RelativeHybridTopologyProtocol._adaptive_settings` applies the same recommendations the CLI uses, starting from our base settings:\n", "\n", - "4. Set a MultiState reporter to write out appropriate coordinates and energies\n", + "* If both end states contain a protein, the solvent padding is reduced from 1.5 nm to 1 nm. The protein already fills much of the box, so the extra water would only slow the simulation down.\n", + "* If the ligands differ in net charge, explicit charge correction is switched on, and the protocol uses 22 λ windows with 20 ns of production per window.\n", "\n", - "\n", - "5. Create an OpenMM sampler (in this case we will be using a replica exchange sampler)\n", - "\n", - "\n", - "6. Carry out the necessary simulation steps (minimization, equilibration, and production)\n", - "\n", - "\n", - "The `RelativeHybridTopologyProtocol` class in `openfe.protocols.openmm_rfe`\n", - "implements a means to achieve all the above with minimal intervention.\n", - "\n", - "Here we work through its usage for the `lig_ejm_31` -> `lig_ejm_47` binding free energy\n", - "test case. As this involves both a relative binding free energy in solvent\n", - "and complex phases, `RelativeHybridTopologyProtocol` will\n", - "be used to build two separate `ProtocolDAG` (directed-acyclic-graph) classes, one for each phase.\n", - "These `DAG`s (which contain the necessary individual simulations), are then executed to yield\n", - "the desired free energy results.\n", - "\n", - "**Note: the underlying components used for the creation of OpenMM hybrid\n", - "topologies and samplers is still in flux, originating mostly from Perses.\n", - "Please consider these to be in beta.**" + "Because these choices depend on the end states and the mapping, the adaptive settings are applied when the transformations are created, in the next section. The leading underscore means the method is not yet part of the public API, so its name may change in a future release." ] }, { "cell_type": "markdown", - "id": "fdfc694f", - "metadata": { - "id": "fdfc694f" - }, + "id": "fba25530-aa1a-4bf3-b227-97ed84fb972f", + "metadata": {}, "source": [ - "### Defining the RBFE simulation settings\n", - "\n", - "There are various parameters which can be set to determine\n", - "how the RBFE simulation will take place. To allow for maximum user flexibility, these are defined as a series of settings objects which control the following:\n", - "\n", - "1. `protocol_repeats`: The number of completely independent repeats of the entire sampling process.\n", + "
\n", "\n", - "2. `simulation_settings`: Parameters controling the simulation plan and the alchemical sampler, including the number of minimization steps, lengths of equilibration and production runs, the sampler method (e.g. Hamiltonian replica exchange, `repex`), and the time interval at which to perform an analysis of the free energies.\n", + "**Learn more:** [Choose and configure a protocol](https://docs.openfree.energy/en/stable/cookbook/choose_protocol.html) · [Relative Hybrid Topology Protocol settings reference](https://docs.openfree.energy/en/stable/reference/api/openmm_rfe.html) · [Solvation settings](https://docs.openfree.energy/en/stable/reference/api/openmm_protocol_settings.html#openfe.protocols.openmm_utils.omm_settings.OpenMMSolvationSettings)\n", "\n", - "3. `output_settings`: Simulation output control settings, including the frequency to write a checkpoint file, the selection string for which part of the system to write coordinates for, and the paths to the trajectory and output structure storage files.\n", - "\n", - "4. `alchemical_settings`: Parameters controlling the creation of the hybrid topology system. This includes various parameters ranging from softcore parameters, through to whether or not to apply an explicit charge correction for systems with net charge changes.\n", - "\n", - "5. `engine_settings`: Parameters determining how the OpenMM engine will execute the simulation. This controls the compute platform which will be used to carry out the simulation.\n", - "\n", - "6. `integrator_settings`: Parameters controlling the `LangevinSplittingDynamicsMove` integrator used for simulation.\n", - "\n", - "7. `lambda_settings`: Lambda protocol settings, including number of lambda windows and lambda functions.\n", - "\n", - "8. `forcefield_settings`: Parameters to set up the force field with OpenMM Force Fields, including the general force fields, the small molecule force field, the nonbonded method, and the nonbonded cutoff.\n", - "\n", - "9. `thermo_settings`: Settings for thermodynamic parameters, such as the temperature and the pressure of the system.\n", - "\n", - "10. `solvation_settings`: Settings for solvating the system, including the solvent model and the solvent padding.\n", - "\n", - "11. `partial_charge_settings`: Settings for assigning partial charges to small molecules, including the partial charge method (e.g. `am1bcc`) and the OpenFF toolkit backend (e.g. `ambertools` or `openeye`)." + "
" ] }, { "cell_type": "markdown", - "id": "d7c8ab9e-0185-40d7-a441-7a4cd948dda9", + "id": "7ca0b0a6-bef7-4614-87a2-623c00dc9f94", "metadata": {}, "source": [ - "The `RelativeHybridTopologyProtocol` class can directly populate the above set of default\n", - "settings through its `default_settings` method.\n", - "Parameters can be overriden after creation.\n", - "In this case, we'll reduce the equilibration length to 0.01 * nanosecond\n", - "and the production to 0.05 * nanosecond in order to reduce the costs of\n", - "running this notebook (in practice, values of 1 and 5 nanoseconds,\n", - "respectively, would be most appropriate).\n", + "## 8. Creating transformations\n", + "\n", + "### One transformation per leg and edge\n", "\n", - "**Note: by default the settings use a solvent padding of 1.5 nm, this is appropriate for solvent simulations, but for complex simulations this leads to excess water being in the box, slowing down your simulation. To deal with this, we will create two sets of settings, and two sets of protocols, one for each leg of the transformations.**" + "Each end state of a transformation is a `ChemicalSystem`: a container for the `Components` present in that state. For the complex leg, this is the ligand, the protein and the solvent; for the solvent leg, it is the ligand and the solvent.\n", + "\n", + "A `Transformation` combines two `ChemicalSystem`s, the mapping between them, and the protocol. For each leg of each edge in the network, we create the two end states, adapt the settings to them, and create the transformation. We use the MST network here, as the precomputed results analysed in section 10 were generated from it." ] }, { "cell_type": "code", - "execution_count": 22, - "id": "309c059b-85c7-4911-a417-69889a474fe1", - "metadata": {}, + "execution_count": 20, + "id": "0b6c9ec3", + "metadata": { + "id": "0b6c9ec3" + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "{'early_termination_target_error': {'unit': 'kilocalorie_per_mole', 'val': 0.0},\n", - " 'equilibration_length': {'unit': 'nanosecond', 'val': 0.009999999999999998},\n", - " 'minimization_steps': 5000,\n", - " 'n_replicas': 11,\n", - " 'production_length': {'unit': 'nanosecond', 'val': 0.04999999999999999},\n", - " 'real_time_analysis_interval': {'unit': 'picosecond', 'val': 250.0},\n", - " 'real_time_analysis_minimum_time': {'unit': 'picosecond', 'val': 500.0},\n", - " 'sampler_method': 'repex',\n", - " 'sams_flatness_criteria': 'logZ-flatness',\n", - " 'sams_gamma0': 1.0,\n", - " 'time_per_iteration': {'unit': 'picosecond', 'val': 2.5}}\n" + "18 transformations\n" ] } ], "source": [ - "from openfe.protocols.openmm_rfe import RelativeHybridTopologyProtocol\n", - "from openff.units import unit\n", - "\n", - "# Create the solvent settings\n", - "solvent_rbfe_settings = RelativeHybridTopologyProtocol.default_settings()\n", - "solvent_rbfe_settings.simulation_settings.equilibration_length = 10 * unit.picosecond # Reduce equilibration length to 10 picoseconds\n", - "solvent_rbfe_settings.simulation_settings.production_length = 50 * unit.picosecond # Reduce prodution length to 50 picoseconds\n", - "solvent_rbfe_settings.engine_settings.compute_platform = None # default is to look for CUDA, none allows falling back to OpenCL or CPU\n", - "\n", - "# Create the complex settings\n", - "complex_rbfe_settings = RelativeHybridTopologyProtocol.default_settings()\n", - "complex_rbfe_settings.simulation_settings.equilibration_length = 10 * unit.picosecond # Reduce equilibration length to 10 picoseconds\n", - "complex_rbfe_settings.simulation_settings.production_length = 50 * unit.picosecond # Reduce prodution length to 50 picoseconds\n", - "complex_rbfe_settings.solvation_settings.solvent_padding = 1 * unit.nanometer\n", - "complex_rbfe_settings.engine_settings.compute_platform = None # default is to look for CUDA, none allows falling back to OpenCL or CPU\n", - "\n", - "# For context, let's display the complex simulation settings!\n", - "complex_rbfe_settings.simulation_settings" - ] - }, - { - "cell_type": "markdown", - "id": "ab0eaea9", - "metadata": { - "id": "ab0eaea9" - }, - "source": [ - "### Creating the RFE Protocol\n", - "\n", - "With the Settings inspected and adjusted, we can provide these to a Protocol.\n", - "This Protocol defines the procedure to estimate a free energy difference between two chemical systems,\n", - "with the details of the two end states yet to be defined.\n", + "legs = {\n", + " \"solvent\": {\"solvent\": solvent},\n", + " \"complex\": {\"protein\": protein, \"solvent\": solvent},\n", + "}\n", + "\n", + "transformations = []\n", + "for edge in mst_network.edges:\n", + " for leg_name, leg_components in legs.items():\n", + " state_a = openfe.ChemicalSystem({\"ligand\": edge.componentA, **leg_components})\n", + " state_b = openfe.ChemicalSystem({\"ligand\": edge.componentB, **leg_components})\n", + "\n", + " settings = RelativeHybridTopologyProtocol._adaptive_settings(\n", + " stateA=state_a,\n", + " stateB=state_b,\n", + " mapping=edge,\n", + " initial_settings=base_settings,\n", + " )\n", "\n", - "In this case, since we need to run both solvent and complex simulations with different settings, we will create two Protocols, one for each leg." - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "d1829ab6", - "metadata": { - "id": "d1829ab6" - }, - "outputs": [], - "source": [ - "# Create RBFE Protocol classes\n", - "solvent_rbfe_protocol = RelativeHybridTopologyProtocol(\n", - " settings=solvent_rbfe_settings\n", - ")\n", + " transformations.append(\n", + " openfe.Transformation(\n", + " stateA=state_a,\n", + " stateB=state_b,\n", + " mapping=edge,\n", + " protocol=RelativeHybridTopologyProtocol(settings=settings),\n", + " name=f\"rbfe_{edge.componentA.name}_{leg_name}_{edge.componentB.name}_{leg_name}\",\n", + " )\n", + " )\n", "\n", - "complex_rbfe_protocol = RelativeHybridTopologyProtocol(\n", - " settings=complex_rbfe_settings\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "075cad59-5b65-42cf-a900-1df5a2de67f1", - "metadata": {}, - "source": [ - "# 3. Running a Relative Ligand Binding Free Energy Calculation" + "print(f\"{len(transformations)} transformations\")" ] }, { "cell_type": "markdown", - "id": "06d9d8a4-d570-42ea-9936-222b5e1728b2", + "id": "fc4a30d5-bdd1-4984-a4ee-d1b87171186a", "metadata": {}, "source": [ - "## 3.0 Creating the Transformations\n", - "\n", - "Once we have the ChemicalSystems and the Protocol, we can create the Transformation.\n", - "\n", - "The `Transformation` requires as input:\n", - "\n", - "* the two `ChemicalSystem` objects defining either end of the alchemical transformation (`stateA` and `stateB`)\n", - "* a mapping between the two systems\n", - "* the protocol\n", - "* a name (optional)\n", - "\n", - "As previously detailed, we create two sets of transformations for the complex and the solvent legs of the thermodynamic cycle." + "We can check what the adaptive settings did. The complex legs have the smaller padding, and none of the TYK2 edges change net charge, so no transformation needed the charge-change settings:" ] }, { "cell_type": "code", - "execution_count": 24, - "id": "853d6eef-e716-4284-b02f-8b06f2beb916", - "metadata": {}, - "outputs": [], - "source": [ - "transformation_complex = openfe.Transformation(\n", - " stateA=ejm_31_complex,\n", - " stateB=ejm_47_complex,\n", - " mapping=ejm_31_to_ejm_47,\n", - " protocol=complex_rbfe_protocol, # use complex protocol created above\n", - " name=f\"{ejm_31_complex.name}_{ejm_47_complex.name}_complex\"\n", - " )\n", - "transformation_solvent = openfe.Transformation(\n", - " stateA=ejm_31_solvent,\n", - " stateB=ejm_47_solvent,\n", - " mapping=ejm_31_to_ejm_47,\n", - " protocol=solvent_rbfe_protocol, # use solvent protocol created above\n", - " name=f\"{ejm_31_solvent.name}_{ejm_47_solvent.name}_solvent\"\n", - " )" - ] - }, - { - "cell_type": "markdown", - "id": "026ad9fc-635f-44d2-937c-bbc58edf64da", - "metadata": {}, - "source": [ - "## 3.1. Using the Python API" - ] - }, - { - "cell_type": "markdown", - "id": "7fd71a0e-7bf6-4529-961b-be8dfa7bbbce", + "execution_count": 21, + "id": "0333885c-d858-4ee1-ac64-c443b58faa97", "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "rbfe_lig_ejm_31_solvent_lig_ejm_47_solvent 1.5 nanometer\n", + "rbfe_lig_ejm_31_complex_lig_ejm_47_complex 1 nanometer\n", + "Charge-changing edges: 0\n" + ] + } + ], "source": [ - "### Creating the `ProtocolDAG`" + "for transformation in transformations[:2]:\n", + " print(transformation.name, transformation.protocol.settings.solvation_settings.solvent_padding)\n", + "\n", + "charge_changes = [edge for edge in mst_network.edges if edge.get_alchemical_charge_difference() != 0]\n", + "print(f\"Charge-changing edges: {len(charge_changes)}\")" ] }, { "cell_type": "markdown", - "id": "0e2e7d25-5bb6-4344-963d-8cf5298982b4", + "id": "fa1f99ad-166c-4eb8-b045-85db984f2d98", "metadata": {}, "source": [ - "With the `Transformation` defined, we can move onto creating the `ProtocolDAG`.\n", - "\n", - "The `Transformation.create()` method creates a directed-acyclic-graph (DAG) of computational tasks necessary for creating an estimate of the free energy difference between the two chemical systems." + "Together, the transformations form an `AlchemicalNetwork`, which describes the whole campaign:" ] }, { "cell_type": "code", - "execution_count": 25, - "id": "77e72e9a-bac0-4059-b0bf-96c15c9b2696", + "execution_count": 22, + "id": "714c1b69-226c-41dc-b73e-50611e873c34", "metadata": {}, "outputs": [], "source": [ - "complex_dag = transformation_complex.create()\n", - "\n", - "solvent_dag = transformation_solvent.create()" + "alchemical_network = openfe.AlchemicalNetwork(edges=transformations, name=\"tyk2_rbfe\")" ] }, { "cell_type": "markdown", - "id": "051fb438-1ab0-4d3f-9615-4b2caff9a9b2", + "id": "7f066f3c-c683-4f45-9adb-1d46c56b46c2", "metadata": {}, "source": [ - "The individual pieces of computational work are called Units. In this particular Protocol, the Units defined are three independent repeats of the alchemical transformation.\n", - "\n", - "For other Protocols, for example non-equilibrium sampling routines, there might be dependencies between the tasks." - ] - }, - { - "cell_type": "markdown", - "id": "7f5c142d", - "metadata": { - "id": "7f5c142d" - }, - "source": [ - "### Simulating the RelativeLigandTransforms\n", - "\n", - "Individual Units can then be executed by calling the `.execute()` method.\n", + "### Writing transformations to disk\n", "\n", - "In the first instance we do a dry-run (which does everything but\n", - "starting the simulation) to make sure that the\n", - "hybrid OpenMM system can be constructed without any issues.\n", - "Note: A successful call to `.run()` will return an empty Dictionary." + "Each transformation is written to its own JSON file, which `openfe quickrun` takes as input:" ] }, { "cell_type": "code", - "execution_count": 26, - "id": "981cde0c", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "981cde0c", - "outputId": "812389bc-3730-416b-8154-79e0e1fb4346" - }, + "execution_count": 23, + "id": "7ca4833a-6e2c-4cc5-aae2-63e41a8419c5", + "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "INFO:\tStarting system setup unit\n", - "INFO:\tParameterizing systems\n", - "INFO:\tRequested to generate parameters for residue \n", - "INFO:\tGenerating a residue template for [H][c]1[n][c]([N]([H])[C](=[O])[C]([H])([H])[H])[c]([H])[c]([N]([H])[C](=[O])[c]2[c]([Cl])[c]([H])[c]([H])[c]([H])[c]2[Cl])[c]1[H] using openff-2.2.1\n", - "INFO:\tPreset charges applied to atom index 0\n", - "INFO:\tPreset charges applied to atom index 1\n", - "INFO:\tPreset charges applied to atom index 2\n", - "INFO:\tPreset charges applied to atom index 3\n", - "INFO:\tPreset charges applied to atom index 4\n", - "INFO:\tPreset charges applied to atom index 5\n", - "INFO:\tPreset charges applied to atom index 6\n", - "INFO:\tPreset charges applied to atom index 7\n", - "INFO:\tPreset charges applied to atom index 8\n", - "INFO:\tPreset charges applied to atom index 9\n", - "INFO:\tPreset charges applied to atom index 10\n", - "INFO:\tPreset charges applied to atom index 11\n", - "INFO:\tPreset charges applied to atom index 12\n", - "INFO:\tPreset charges applied to atom index 13\n", - "INFO:\tPreset charges applied to atom index 14\n", - "INFO:\tPreset charges applied to atom index 15\n", - "INFO:\tPreset charges applied to atom index 16\n", - "INFO:\tPreset charges applied to atom index 17\n", - "INFO:\tPreset charges applied to atom index 18\n", - "INFO:\tPreset charges applied to atom index 19\n", - "INFO:\tPreset charges applied to atom index 20\n", - "INFO:\tPreset charges applied to atom index 21\n", - "INFO:\tPreset charges applied to atom index 22\n", - "INFO:\tPreset charges applied to atom index 23\n", - "INFO:\tPreset charges applied to atom index 24\n", - "INFO:\tPreset charges applied to atom index 25\n", - "INFO:\tPreset charges applied to atom index 26\n", - "INFO:\tPreset charges applied to atom index 27\n", - "INFO:\tPreset charges applied to atom index 28\n", - "INFO:\tPreset charges applied to atom index 29\n", - "INFO:\tPreset charges applied to atom index 30\n", - "INFO:\tPreset charges applied to atom index 31\n", - "INFO:\tRequested to generate parameters for residue \n", - "INFO:\tGenerating a residue template for [H][c]1[n][c]([N]([H])[C](=[O])[C]2([H])[C]([H])([H])[C]([H])([H])[C]2([H])[H])[c]([H])[c]([N]([H])[C](=[O])[c]2[c]([Cl])[c]([H])[c]([H])[c]([H])[c]2[Cl])[c]1[H] using openff-2.2.1\n", - "INFO:\tPreset charges applied to atom index 0\n", - "INFO:\tPreset charges applied to atom index 1\n", - "INFO:\tPreset charges applied to atom index 2\n", - "INFO:\tPreset charges applied to atom index 3\n", - "INFO:\tPreset charges applied to atom index 4\n", - "INFO:\tPreset charges applied to atom index 5\n", - "INFO:\tPreset charges applied to atom index 6\n", - "INFO:\tPreset charges applied to atom index 7\n", - "INFO:\tPreset charges applied to atom index 8\n", - "INFO:\tPreset charges applied to atom index 9\n", - "INFO:\tPreset charges applied to atom index 10\n", - "INFO:\tPreset charges applied to atom index 11\n", - "INFO:\tPreset charges applied to atom index 12\n", - "INFO:\tPreset charges applied to atom index 13\n", - "INFO:\tPreset charges applied to atom index 14\n", - "INFO:\tPreset charges applied to atom index 15\n", - "INFO:\tPreset charges applied to atom index 16\n", - "INFO:\tPreset charges applied to atom index 17\n", - "INFO:\tPreset charges applied to atom index 18\n", - "INFO:\tPreset charges applied to atom index 19\n", - "INFO:\tPreset charges applied to atom index 20\n", - "INFO:\tPreset charges applied to atom index 21\n", - "INFO:\tPreset charges applied to atom index 22\n", - "INFO:\tPreset charges applied to atom index 23\n", - "INFO:\tPreset charges applied to atom index 24\n", - "INFO:\tPreset charges applied to atom index 25\n", - "INFO:\tPreset charges applied to atom index 26\n", - "INFO:\tPreset charges applied to atom index 27\n", - "INFO:\tPreset charges applied to atom index 28\n", - "INFO:\tPreset charges applied to atom index 29\n", - "INFO:\tPreset charges applied to atom index 30\n", - "INFO:\tPreset charges applied to atom index 31\n", - "INFO:\tPreset charges applied to atom index 32\n", - "INFO:\tPreset charges applied to atom index 33\n", - "INFO:\tPreset charges applied to atom index 34\n", - "INFO:\tPreset charges applied to atom index 35\n", - "INFO:\tPreset charges applied to atom index 36\n", - "INFO:\tPreset charges applied to atom index 37\n", - "INFO:\tPreset charges applied to atom index 38\n", - "INFO:\tCreating hybrid system\n", - "INFO:\tSetting force field terms\n", - "INFO:\tAdding forces\n", - "INFO:\tNo CMAPTorsionForce found. Skipping adding force.\n", - "INFO:\tHybrid system created\n", - "/Users/hannahbaumann/.local/share/mamba/envs/openfe/lib/python3.13/site-packages/mdtraj/core/topology.py:97: UserWarning: atom_indices are not monotonically increasing\n", - " warnings.warn(\"atom_indices are not monotonically increasing\")\n" - ] - }, { "data": { "text/plain": [ - "{'system': PosixPath('hybrid_system.xml.bz2'),\n", - " 'positions': PosixPath('hybrid_positions.npy'),\n", - " 'pdb_structure': PosixPath('hybrid_system.pdb'),\n", - " 'selection_indices': array([ 0, 1, 2, ..., 37051, 37052, 37053], shape=(4755,)),\n", - " 'hybrid_factory': ,\n", - " 'hybrid_system': >,\n", - " 'hybrid_positions': Quantity(value=array([[-1.5732 , -1.2864 , 0.422 ],\n", - " [-1.5275 , -1.4196 , 0.3637 ],\n", - " [-1.4652 , -1.4991 , 0.434 ],\n", - " ...,\n", - " [-0.79803, -1.16755, -2.20897],\n", - " [-0.9577 , -1.23187, -2.25983],\n", - " [-0.98902, -1.35295, -2.04978]], shape=(37065, 3)), unit=nanometer)}" + "['lig_ejm_31_lig_ejm_47_complex.json',\n", + " 'lig_ejm_31_lig_ejm_47_solvent.json',\n", + " 'rbfe_lig_ejm_31_complex_lig_ejm_46_complex.json',\n", + " 'rbfe_lig_ejm_31_complex_lig_ejm_47_complex.json']" ] }, - "execution_count": 26, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# complex dry-run\n", - "complex_unit = list(complex_dag.protocol_units)[0]\n", + "import pathlib\n", "\n", - "complex_unit.run(dry=True, verbose=True)" + "transformation_dir = pathlib.Path(\"tyk2_json\")\n", + "transformation_dir.mkdir(exist_ok=True)\n", + "\n", + "for transformation in transformations:\n", + " transformation.to_json(transformation_dir / f\"{transformation.name}.json\")\n", + "\n", + "sorted(path.name for path in transformation_dir.iterdir())[:4]" + ] + }, + { + "cell_type": "markdown", + "id": "8490d06c-a15e-4a7b-a965-396878ad541d", + "metadata": {}, + "source": [ + "### Checking a transformation with a dry run\n", + "\n", + "Before submitting a campaign, it is worth checking that the systems can be built. Calling `create()` on a transformation gives a `ProtocolDAG`: the units of work needed to compute its free energy. A dry run of the setup unit parameterises the system and builds the hybrid topology without running any simulation. It returns the paths of the files it wrote, including the hybrid system and its structure." ] }, { "cell_type": "code", - "execution_count": 27, - "id": "77accb06", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "77accb06", - "outputId": "e0b977c0-7e72-4a49-d3ea-eb0cdb85ed5d" - }, + "execution_count": 24, + "id": "20b2eb53-360c-4018-b75e-7a5fa37ac7f3", + "metadata": {}, "outputs": [ { "name": "stderr", @@ -3054,92 +2969,117 @@ "text": [ "INFO:\tStarting system setup unit\n", "INFO:\tParameterizing systems\n", - "INFO:\tRequested to generate parameters for residue \n", - "INFO:\tRequested to generate parameters for residue \n", + "INFO:\tRequested to generate parameters for residue \n", + "INFO:\tGenerating a residue template for [H][c]1[n][c]([N]([H])[C](=[O])[C]([H])([H])[H])[c]([H])[c]([N]([H])[C](=[O])[c]2[c]([Cl])[c]([H])[c]([H])[c]([H])[c]2[Cl])[c]1[H] using openff-2.3.0\n", + "INFO:\tRequested to generate parameters for residue \n", + "INFO:\tGenerating a residue template for [H][c]1[n][c]([N]([H])[C](=[O])[C]2([H])[C]([H])([H])[C]([H])([H])[C]2([H])[H])[c]([H])[c]([N]([H])[C](=[O])[c]2[c]([Cl])[c]([H])[c]([H])[c]([H])[c]2[Cl])[c]1[H] using openff-2.3.0\n", "INFO:\tCreating hybrid system\n", "INFO:\tSetting force field terms\n", "INFO:\tAdding forces\n", "INFO:\tNo CMAPTorsionForce found. Skipping adding force.\n", "INFO:\tHybrid system created\n", - "/Users/hannahbaumann/.local/share/mamba/envs/openfe/lib/python3.13/site-packages/mdtraj/core/topology.py:97: UserWarning: atom_indices are not monotonically increasing\n", + "/Users/hannahbaumann/.local/share/mamba/envs/openfe_dev/lib/python3.13/site-packages/mdtraj/core/topology.py:97: UserWarning: atom_indices are not monotonically increasing\n", " warnings.warn(\"atom_indices are not monotonically increasing\")\n" ] }, { "data": { "text/plain": [ - "{'system': PosixPath('hybrid_system.xml.bz2'),\n", - " 'positions': PosixPath('hybrid_positions.npy'),\n", - " 'pdb_structure': PosixPath('hybrid_system.pdb'),\n", - " 'selection_indices': array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10,\n", - " 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21,\n", - " 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 1755,\n", - " 1756, 1757, 1758, 1759, 1760, 1761, 1762, 1763, 1764, 1765, 1751,\n", - " 1752, 1753, 1754]),\n", - " 'hybrid_factory': ,\n", - " 'hybrid_system': >,\n", - " 'hybrid_positions': Quantity(value=array([[-0.4771 , -0.27958, -1.64978],\n", - " [-0.53622, -0.36601, -1.62251],\n", - " [-0.47773, -0.49364, -1.61997],\n", - " ...,\n", - " [-0.79803, -1.16755, -2.20897],\n", - " [-0.9577 , -1.23187, -2.25983],\n", - " [-0.98902, -1.35295, -2.04978]], shape=(1766, 3)), unit=nanometer)}" + "{'system': PosixPath('dry_run/hybrid_system.xml.bz2'),\n", + " 'positions': PosixPath('dry_run/hybrid_positions.npy'),\n", + " 'pdb_structure': PosixPath('dry_run/hybrid_system.pdb'),\n", + " 'alchemical_resnames': ['LIG'],\n", + " 'hybrid_factory': ,\n", + " 'hybrid_system': >,\n", + " 'hybrid_positions': [[-0.4771 -0.27958 -1.64978]\n", + " [-0.53622 -0.36601 -1.62251]\n", + " [-0.47773 -0.49364 -1.61997]\n", + " ...\n", + " [-0.79803 -1.16755 -2.20897]\n", + " [-0.9577 -1.23187 -2.25983]\n", + " [-0.98902 -1.35295 -2.04978]] nm}" ] }, - "execution_count": 27, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# solvent dry-run\n", - "solvent_unit = list(solvent_dag.protocol_units)[0]\n", + "from openfe.protocols.openmm_rfe.equil_rfe_methods import HybridTopologySetupUnit\n", "\n", - "solvent_unit.run(dry=True, verbose=True)" + "solvent_transformation = next(t for t in transformations if t.name.endswith(\"_solvent\"))\n", + "solvent_dag = solvent_transformation.create()\n", + "\n", + "setup_unit = next(unit for unit in solvent_dag.protocol_units if isinstance(unit, HybridTopologySetupUnit))\n", + "\n", + "dry_run_dir = pathlib.Path(\"dry_run\")\n", + "dry_run_dir.mkdir(exist_ok=True)\n", + "setup_outputs = setup_unit.run(\n", + " dry=True,\n", + " verbose=True,\n", + " scratch_basepath=dry_run_dir,\n", + " shared_basepath=dry_run_dir,\n", + ")\n", + "{key: value for key, value in setup_outputs.items() if key != \"selection_indices\"}" ] }, { "cell_type": "markdown", - "id": "ceba2266-8ad5-4205-96df-4b6403fc3b50", + "id": "21524545-1a2c-46f5-a783-682a57bb6bd8", "metadata": {}, "source": [ - "## 3.2. Using the CLI\n", + "
\n", "\n", - "Even when using the Python API to set up the RBFE calculations, you can dump all `Transformation`s to a JSON file and run the calculations using the `openfe quickrun` command. Here, we will show you how to save the `Transformation`s to the JSON file." + "**Learn more:** [Alchemical networks: planning a simulation campaign](https://docs.openfree.energy/en/stable/guide/setup/alchemical_network_model.html) · [Dumping a Transformation to JSON](https://docs.openfree.energy/en/stable/cookbook/dumping_transformation.html)\n", + "\n", + "
" ] }, { "cell_type": "markdown", - "id": "043672e9-20e5-4b2c-8977-cca0e2ddf23e", + "id": "7b6f7dc9-e3fa-4a96-8e16-eb372f69fa31", "metadata": {}, "source": [ - "We’ll write out the transformation to disk, so that it can be run using the `openfe quickrun` command:" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "12d35b4c-b737-4c3c-9fda-dc387aaa6915", - "metadata": {}, - "outputs": [], - "source": [ - "import pathlib\n", - "# first we create the directory\n", - "transformation_dir = pathlib.Path(\"tyk2_json\")\n", - "transformation_dir.mkdir(exist_ok=True)\n", + "## 9. Running the calculations\n", + "\n", + "Each transformation JSON is run with `openfe quickrun`:\n", + "\n", + "```bash\n", + "openfe quickrun tyk2_json/lig_ejm_31_solvent_lig_ejm_47_solvent.json \\\n", + " -o results/lig_ejm_31_solvent_lig_ejm_47_solvent.json \\\n", + " -d results/lig_ejm_31_solvent_lig_ejm_47_solvent/\n", + "```\n", + "\n", + "`-o` is the results JSON, holding the free energy estimate and uncertainty, and `-d` is the directory for the simulation files (trajectories, analysis plots and so on). By default each transformation runs three independent repeats, whose spread gives the uncertainty in the estimate.\n", + "\n", + "
\n", "\n", - "# then we write out the transformations\n", - "transformation_complex.to_json(transformation_dir / f\"{transformation_complex.name}.json\")\n", - "transformation_solvent.to_json(transformation_dir / f\"{transformation_solvent.name}.json\")" + "We don't run the simulations in this notebook: even one leg takes hours on a GPU. Instead, section 10 uses precomputed results. In a real campaign, you would typically submit each transformation as a separate job on an HPC cluster.\n", + "\n", + "
\n", + "\n", + "### The same campaign from the CLI\n", + "\n", + "Everything in sections 4 to 8 can also be done in a single CLI command, using the default choices (Kartograf mapper, MST network, default (adaptive) protocol settings):\n", + "\n", + "```bash\n", + "openfe plan-rbfe-network -M inputs/tyk2_ligands.sdf -p inputs/tyk2_protein.pdb -o tyk2_cli/\n", + "```\n", + "\n", + "These choices can be customised with a YAML settings file passed via `-s`." ] }, { "cell_type": "markdown", - "id": "05d4c16c-1d16-4ef1-a1b3-2eec6275c778", + "id": "a441ec0c-d14c-4a59-89e4-27c2a6f84f50", "metadata": {}, "source": [ - "You can run the RBFE simulations from the CLI by using the `openfe quickrun` command, as described in Section 5. below." + "
\n", + "\n", + "**Learn more:** [Execution with quickrun](https://docs.openfree.energy/en/stable/guide/execution/quickrun_execution.html) · [RBFE with the CLI](https://docs.openfree.energy/en/stable/tutorials/rbfe_cli_tutorial.html) · [Customising CLI planning with YAML settings](https://docs.openfree.energy/en/stable/guide/cli/cli_yaml.html)\n", + "\n", + "
" ] }, { @@ -3149,85 +3089,76 @@ "id": "e07d1e29" }, "source": [ - "# 4. Analysis" - ] - }, - { - "cell_type": "markdown", - "id": "2accbbd1", - "metadata": { - "id": "2accbbd1" - }, - "source": [ - "Finally now that we've \"run\" our simulations, let's go ahead and gather the free energies for both phases. \n", - "First we will take a look at the way to do this using our python api, then we will show how to use our `openfe gather` command on pre-computed results.\n", + "## 10. Results\n", "\n", - "## 4.1 Analysis - Python API\n", + "### Fetching precomputed results\n", "\n", - "We can use the python API to gather the free energies for both phases by passing the results of executing the DAGs and calling the `gather()` methods of `RelativeLigandTransform`.\n", - "This takes a **list** of completed DAG results, catering for when simulations have been extended." + "These results come from running the TYK2 network with the CLI defaults:" ] }, { - "cell_type": "markdown", - "id": "f69eb5cb-88ce-4e11-b05e-5591a2ed66c2", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" + "cell_type": "code", + "execution_count": 27, + "id": "70f53876-99c3-42b3-92d7-14526a167320", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/hannahbaumann/.local/share/mamba/envs/openfe_dev/lib/python3.13/pty.py:95: DeprecationWarning: This process (pid=46857) is multi-threaded, use of forkpty() may lead to deadlocks in the child.\n", + " pid, fd = os.forkpty()\n" + ] }, - "id": "fd1332db", - "outputId": "5b7d8379-d10d-4bf7-eb32-527998843e91", - "tags": [ - "nbval-skip" - ] - }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Fetching /Users/hannahbaumann/.local/share/mamba/envs/openfe_dev/lib/python3.13/site-packages/openfecli/tests/data/rbfe_results.tar.gz\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/hannahbaumann/.local/share/mamba/envs/openfe_dev/lib/python3.13/pty.py:95: DeprecationWarning: This process (pid=46857) is multi-threaded, use of forkpty() may lead to deadlocks in the child.\n", + " pid, fd = os.forkpty()\n" + ] + } + ], "source": [ - "For production use we recommend saving the transformations to disk and using `openfe quickrun` to run them in an HPC environment, but for completeness, below is a python snippet that will run the transformations we defined earlier and then analyze the results. \n", - "\n", - "``` python\n", - "# Finally we can run the simulations\n", - "complex_path = pathlib.Path('./complex')\n", - "complex_path.mkdir()\n", - "\n", - "# First the complex transformation\n", - "complex_dag_results = execute_DAG(complex_dag, scratch_basedir=complex_path, shared_basedir=complex_path)\n", - "\n", - "# Next the solvent state transformation\n", - "solvent_path = pathlib.Path('./solvent')\n", - "solvent_path.mkdir()\n", - "\n", - "solvent_dag_results = execute_DAG(solvent_dag, scratch_basedir=solvent_path, shared_basedir=solvent_path)\n", - "\n", - "# Get the complex and solvent results\n", - "complex_results = rbfe_protocol.gather([complex_dag_results])\n", - "solvent_results = rbfe_protocol.gather([solvent_dag_results])\n", + "import locale\n", + "locale.getpreferredencoding = lambda: \"UTF-8\" # needed on Google Colab only\n", "\n", - "print(f\"Complex dG: {complex_results.get_estimate()}, err {complex_results.get_uncertainty()}\")\n", - "print(f\"Solvent dG: {solvent_results.get_estimate()}, err {solvent_results.get_uncertainty()}\")\n", - "```" + "!openfe fetch rbfe-tutorial-results\n", + "!tar -xf rbfe_results.tar.gz" ] }, { "cell_type": "markdown", - "id": "d53f72e1-ebec-4cad-8054-1746e1e79074", + "id": "5038cee6-99b1-4c97-8a97-a5597e5c279f", "metadata": {}, "source": [ - "## 4.2 Analysis - `openfe gather`\n", + "### Gathering free energies\n", "\n", - "First we will download some TYK2 transformations we already ran. These results are from an entire TYK2 network and not a single edge. " + "`openfe gather` combines the results JSON files into a table. The `--report` option selects what is reported:\n", + "\n", + "* `raw`: the free energy of every leg and repeat.\n", + "* `ddg`: the relative binding free energy ΔΔG for each edge, combining both legs and averaging over repeats. The uncertainty is the standard deviation between repeats.\n", + "* `dg`: a binding free energy ΔG per ligand, derived from all ΔΔG values with a maximum likelihood estimator (MLE). These values are relative to the mean of the series, which is set to 0 kcal/mol, so they must be shifted before comparing them with experiment." ] }, { "cell_type": "code", - "execution_count": 29, - "id": "059068d3-d9e2-4923-80ca-c2989a559d1f", + "execution_count": 30, + "id": "ce5cad65-100c-4203-9b0b-7ca7994545e4", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/Users/hannahbaumann/.local/share/mamba/envs/openfe/lib/python3.13/pty.py:95: DeprecationWarning: This process (pid=68413) is multi-threaded, use of forkpty() may lead to deadlocks in the child.\n", + "/Users/hannahbaumann/.local/share/mamba/envs/openfe_dev/lib/python3.13/pty.py:95: DeprecationWarning: This process (pid=46857) is multi-threaded, use of forkpty() may lead to deadlocks in the child.\n", " pid, fd = os.forkpty()\n" ] }, @@ -3235,37 +3166,37 @@ "name": "stdout", "output_type": "stream", "text": [ - "Fetching /Users/hannahbaumann/.local/share/mamba/envs/openfe/lib/python3.13/site-packages/openfecli/tests/data/rbfe_results.tar.gz\n" + "\u001b[?25lLoading results: ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 54/54 files\u001b[?25h\n", + "writing ddg output to 'tyk2_ddg.tsv'\n", + "ligand_i\tligand_j\tDDG(i->j) (kcal/mol)\tuncertainty (kcal/mol)\n", + "lig_ejm_31\tlig_ejm_42\t0.8\t0.2\n", + "lig_ejm_31\tlig_ejm_46\t-0.89\t0.08\n", + "lig_ejm_31\tlig_ejm_47\t0.0\t0.2\n", + "lig_ejm_31\tlig_ejm_48\t0.6\t0.1\n", + "lig_ejm_31\tlig_ejm_50\t1.00\t0.05\n", + "lig_ejm_42\tlig_ejm_43\t1.4\t0.2\n", + "lig_ejm_46\tlig_jmc_23\t0.3\t0.1\n", + "lig_ejm_46\tlig_jmc_27\t-0.1\t0.1\n", + "lig_ejm_46\tlig_jmc_28\t-0.27\t0.07\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "/Users/hannahbaumann/.local/share/mamba/envs/openfe/lib/python3.13/pty.py:95: DeprecationWarning: This process (pid=68413) is multi-threaded, use of forkpty() may lead to deadlocks in the child.\n", + "/Users/hannahbaumann/.local/share/mamba/envs/openfe_dev/lib/python3.13/pty.py:95: DeprecationWarning: This process (pid=46857) is multi-threaded, use of forkpty() may lead to deadlocks in the child.\n", " pid, fd = os.forkpty()\n" ] } ], "source": [ - "# Results from our cli tutorial\n", - "locale.getpreferredencoding = lambda: \"UTF-8\" # hack for google colab, not needed for local execution\n", - "!openfe fetch rbfe-tutorial-results\n", - "# Extract results\n", - "!tar -xf rbfe_results.tar.gz" - ] - }, - { - "cell_type": "markdown", - "id": "9fe99e84-1857-47a5-adea-bf0983e8a750", - "metadata": {}, - "source": [ - "Now we can use the `openfe gather` command to look at the results (see section 5.3 for more details)" + "!openfe gather results/ --report ddg -o tyk2_ddg.tsv\n", + "!cat tyk2_ddg.tsv" ] }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 31, "id": "ab9f2cca-8458-4515-a64a-20370151e1a5", "metadata": {}, "outputs": [ @@ -3273,7 +3204,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/hannahbaumann/.local/share/mamba/envs/openfe/lib/python3.13/pty.py:95: DeprecationWarning: This process (pid=68413) is multi-threaded, use of forkpty() may lead to deadlocks in the child.\n", + "/Users/hannahbaumann/.local/share/mamba/envs/openfe_dev/lib/python3.13/pty.py:95: DeprecationWarning: This process (pid=46857) is multi-threaded, use of forkpty() may lead to deadlocks in the child.\n", " pid, fd = os.forkpty()\n" ] }, @@ -3281,8 +3212,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001B[?25lLoading results: ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 54/54 files\u001B[?25h\n", - "writing dg output to 'final_results.tsv'\n", + "\u001b[?25lLoading results: ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 54/54 files\u001b[?25h\n", + "writing dg output to 'tyk2_dg.tsv'\n", "ligand\tDG(MLE) (kcal/mol)\tuncertainty (kcal/mol)\n", "lig_ejm_31\t-0.09\t0.06\n", "lig_ejm_42\t0.7\t0.1\n", @@ -3300,132 +3231,296 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/hannahbaumann/.local/share/mamba/envs/openfe/lib/python3.13/pty.py:95: DeprecationWarning: This process (pid=68413) is multi-threaded, use of forkpty() may lead to deadlocks in the child.\n", + "/Users/hannahbaumann/.local/share/mamba/envs/openfe_dev/lib/python3.13/pty.py:95: DeprecationWarning: This process (pid=46857) is multi-threaded, use of forkpty() may lead to deadlocks in the child.\n", " pid, fd = os.forkpty()\n" ] } ], "source": [ - "!openfe gather results/ --report dg -o final_results.tsv\n", - "!cat final_results.tsv" + "!openfe gather results/ --report dg -o tyk2_dg.tsv\n", + "!cat tyk2_dg.tsv" ] }, { "cell_type": "markdown", - "id": "524015c7-6c42-4b84-98b9-361c17945fbe", + "id": "89fdb7e1-dd2c-48e4-98d7-3b8eb550a090", "metadata": {}, "source": [ - "# 5. Relative Free Energies with the OpenFE CLI" + "
\n", + "\n", + "**Learn more:** [Analysis of the Relative Hybrid Topology Protocol](https://docs.openfree.energy/en/stable/guide/protocols/relativehybridtopology.html#analysis) · [openfe gather](https://docs.openfree.energy/en/stable/reference/cli/gather.html) · [Working with networks of results](https://docs.openfree.energy/en/stable/guide/results/working_with_networks.html)\n", + "\n", + "
" ] }, { "cell_type": "markdown", - "id": "11074a41-2827-48c5-9493-e0e4e2d94838", + "id": "524015c7-6c42-4b84-98b9-361c17945fbe", "metadata": {}, "source": [ - "You can also do all the above using the OpenFE command line interface – with no Python at all!\n", + "## 11. Analysing results with cinnabar\n", "\n", - "The entire process of running the campaign of simulations is split into 3 stages; each of which corresponds to a CLI command:\n", + "[cinnabar](https://cinnabar.openfree.energy/en/latest/) analyses networks of free energy results. It is what `openfe gather --report dg` uses for the MLE, and it also provides comparisons with experiment and plotting.\n", "\n", - "1. Setting up the necessary files to describe each of the individual simulations to run.\n", + "### Loading the results\n", "\n", - "2. Running the simulations.\n", - "\n", - "3. Gathering the results of separate simulations into a single table.\n", - "\n", - "For more details, please visit our tutorial: [Relative binding free energies with the OpenFE CLI](https://docs.openfree.energy/en/latest/tutorials/rbfe_cli_tutorial.html)." + "We need the calculated ΔΔG values and, to compare with experiment, the experimental ΔG values. The experimental TYK2 data comes from the [openfe-benchmarks](https://github.com/OpenFreeEnergy/openfe-benchmarks) repository:" ] }, { - "cell_type": "markdown", - "id": "68cc5f26-71e2-4135-b72b-6c5a4a1d4072", + "cell_type": "code", + "execution_count": 32, + "id": "04907653-a4ad-4598-b7ee-02e52a9a0868", "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
ligand_iligand_jDDG(i->j) (kcal/mol)uncertainty (kcal/mol)
0lig_ejm_31lig_ejm_420.800.20
1lig_ejm_31lig_ejm_46-0.890.08
2lig_ejm_31lig_ejm_470.000.20
3lig_ejm_31lig_ejm_480.600.10
4lig_ejm_31lig_ejm_501.000.05
\n", + "
" + ], + "text/plain": [ + " ligand_i ligand_j DDG(i->j) (kcal/mol) uncertainty (kcal/mol)\n", + "0 lig_ejm_31 lig_ejm_42 0.80 0.20\n", + "1 lig_ejm_31 lig_ejm_46 -0.89 0.08\n", + "2 lig_ejm_31 lig_ejm_47 0.00 0.20\n", + "3 lig_ejm_31 lig_ejm_48 0.60 0.10\n", + "4 lig_ejm_31 lig_ejm_50 1.00 0.05" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "## 5.1. Setup\n", - "\n", - "The setup, as described above, can also be carried out using the CLI command `openfe plan-rbfe-network`.\n", + "import json\n", + "import urllib.request\n", "\n", - "`openfe plan-rbfe-network -M inputs/tyk2_ligands.sdf -p inputs/tyk2_protein.pdb -o tyk2_json/`\n", + "import pandas as pd\n", "\n", - "This command plans a relative binding free energy network and saves it as JSON files for the `openfe quickrun` command.\n", + "calculated = pd.read_csv(\"tyk2_ddg.tsv\", sep=\"\\t\")\n", "\n", - "By default, this tool makes the following choices:\n", - "\n", - "* Atom mappings performed by Kartograf\n", - "* Minimal spanning network as the network planner, with LOMAP default score as the weight function\n", - "* Water as solvent, with NaCl counter ions at 0.15 M concentration.\n", - "* Protocol is the OpenMM-based relative hybrid topology protocol, with default settings.\n", + "experimental_url = (\n", + " \"https://raw.githubusercontent.com/OpenFreeEnergy/openfe-benchmarks/main/\"\n", + " \"openfe_benchmarks/data/benchmark_systems/jacs_set/tyk2/experimental_binding_data.json\"\n", + ")\n", + "with urllib.request.urlopen(experimental_url) as response:\n", + " experimental = json.load(response)\n", "\n", - "These choices can be customized by creating a settings yaml file, which is\n", - "passed in via the ``-s settings.yaml`` option. For more details, please visit our user guide section about [Customising CLI planning with yaml settings](https://docs.openfree.energy/en/latest/guide/cli/cli_yaml.html)" + "calculated.head()" ] }, { "cell_type": "markdown", - "id": "26fef157-6989-406d-b719-0ed597ef820e", + "id": "7477fd2f-fc45-438a-9456-243b5e595d69", "metadata": {}, "source": [ - "## 5.2. Execution\n", - "\n", - "You can run each leg individually by using the `openfe quickrun` command. It takes a transformation JSON as input, and the flags `-o` to give the final output JSON file and `-d` for the directory where simulation results should be stored. For example,\n", - "\n", - "`openfe quickrun tyk2_json/lig_ejm_31_lig_ejm_47_complex.json -o results_complex.json -d working-directory`\n", + "Both are added to a cinnabar `FEMap`, which holds the network of calculated and experimental values. The experimental data names ligands without the `lig_` prefix, so we add it back to match our ligand names:" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "e6a2b311-9e49-443e-9006-d9c59e9bb6cd", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from cinnabar import FEMap, plotting\n", "\n", - "`openfe quickrun tyk2_json/lig_ejm_31_lig_ejm_47_solvent.json -o results_solvent.json -d working-directory`\n", + "fe_map = FEMap()\n", "\n", - "## 5.3. Analysis\n", + "for _, row in calculated.iterrows():\n", + " fe_map.add_relative_calculation(\n", + " labelA=row[\"ligand_i\"],\n", + " labelB=row[\"ligand_j\"],\n", + " value=row[\"DDG(i->j) (kcal/mol)\"] * unit.kilocalories_per_mole,\n", + " uncertainty=row[\"uncertainty (kcal/mol)\"] * unit.kilocalories_per_mole,\n", + " source=\"openfe\",\n", + " )\n", "\n", - "To gather the \n", - " estimates into a single file, use the `openfe gather` command from within the working directory used above:\n", + "for ligand in ligands:\n", + " fe_map.add_experimental_measurement(\n", + " label=ligand.name,\n", + " value=experimental[ligand.name.removeprefix(\"lig_\")][\"dg\"][\"magnitude\"] * unit.kilocalories_per_mole,\n", + " uncertainty=0.0 * unit.kilocalories_per_mole,\n", + " source=\"experimental\",\n", + " )\n", "\n", - "`openfe gather results/ --report dg -o final_results.tsv`\n", + "fe_map.draw_graph()" + ] + }, + { + "cell_type": "markdown", + "id": "acbe80a2-f330-4464-a31f-aaac7f51a7c6", + "metadata": {}, + "source": [ + "### Relative free energies\n", "\n", - "This will write out a tab-separated table of results, where the results reported are controlled by the `--report` option:\n", + "First we compare each calculated ΔΔG with the experimental ΔΔG for the same edge. Points on the diagonal indicate perfect agreement, and the shaded bands mark ±0.5 and ±1 kcal/mol." + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "8af7ef81-5548-4408-ae44-d1f5503f3133", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plotting.plot_DDGs(fe_map, source=\"openfe\", figsize=5, title=\"TYK2 relative binding free energies\")" + ] + }, + { + "cell_type": "markdown", + "id": "7d3bd710-957f-48aa-bf5e-14262399eaf8", + "metadata": {}, + "source": [ + "### Binding free energies per ligand\n", "\n", - "* `dg` (default) reports the ligand and the results are the maximum likelihood estimate of its absolute free, and the associated uncertainty from DDG replica averages and standard deviations.\n", + "To rank compounds, we combine the ΔΔG values into a ΔG per ligand with the MLE. Because MLE values are centred on 0, we shift them by the mean experimental ΔG to place both on the same scale:" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "89ae8f5c-37c8-41a2-ba7b-d93c5d509dfa", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fe_map.generate_absolute_values()\n", "\n", - "* `ddg` reports pairs of ligand_i and ligand_j, the calculated relative free energy DDG(i->j) = DG(j) - DG(i) and its uncertainty.\n", + "absolute = fe_map.get_absolute_dataframe()\n", + "experimental_mean = absolute[absolute[\"source\"] == \"experimental\"][\"DG (kcal/mol)\"].mean()\n", "\n", - "* `raw` reports the raw results, giving the leg (vacuum, solvent, or complex), ligand_i, ligand_j, the raw DG(i->j) associated with it." + "plotting.plot_DGs(fe_map, source=\"MLE\", figsize=5, shift=experimental_mean, title=\"TYK2 binding free energies\")" ] }, { "cell_type": "markdown", - "id": "c3a26c6b-c958-4607-a191-f84c626d2db1", + "id": "4fed0727-56db-4e80-977e-22aa367c5ee0", "metadata": {}, "source": [ - "# 6. Useful References for Getting Started" + "
\n", + "\n", + "**Cycle closure.** In a network with cycles, such as the LOMAP network from section 6, the ΔΔG values around each closed cycle should sum to zero, which gives a useful consistency check on the results. The minimal spanning tree used here has no cycles.\n", + "\n", + "**Learn more:** [cinnabar documentation](https://cinnabar.openfree.energy/en/latest/) · [Plotting results with cinnabar](https://docs.openfree.energy/en/stable/tutorials/plotting_with_cinnabar.html)\n", + "\n", + "
" ] }, { "cell_type": "markdown", - "id": "2dc92d40-5a28-404f-bbff-5081cec5f995", + "id": "51f7f9c6-5308-4296-936d-2569a3e785fc", "metadata": {}, "source": [ - "In our [documentation](https://docs.openfree.energy/en/latest/index.html), \n", - "we provide tutorials for every protocol to walk you through setup, execution and analysis step by step.\n", + "## 12. Next steps\n", "\n", - "* [RBFE CLI tutorial](https://docs.openfree.energy/en/latest/tutorials/rbfe_cli_tutorial.html)\n", - "* [RBFE Python tutorial](https://docs.openfree.energy/en/latest/tutorials/rbfe_python_tutorial.html)\n", - "* [AHFE tutorial](https://docs.openfree.energy/en/latest/tutorials/ahfe_tutorial.html)\n", - "* [MD tutorial](https://docs.openfree.energy/en/latest/tutorials/md_tutorial.html)\n", - "* [ABFE tutorial](https://docs.openfree.energy/en/latest/tutorials/abfe_tutorial.html)\n", - "* [RBFE using a Separated Topologies (SepTop) approach tutorial](https://docs.openfree.energy/en/latest/tutorials/septop_tutorial.html)\n", + "In this showcase we planned a TYK2 RBFE campaign with the Python API: assigning partial charges, mapping and scoring ligand pairs, building a ligand network, configuring the protocol and writing out the transformations. We then gathered precomputed results and compared them with experiment using cinnabar.\n", "\n", - "In addition to the tutorials, you can find [cookbooks](https://docs.openfree.energy/en/latest/cookbook/index.html), written as How-to guides on how to utilize different components of the toolkit, as well as a [User Guide](https://docs.openfree.energy/en/latest/guide/index.html) that goes into the underlying concepts of the OpenFE toolkit.\n", + "To go further:\n", "\n", - "For details about the toolkit's core methods and classes, please visit our [API Reference](https://docs.openfree.energy/en/latest/reference/index.html) or our [Github page](https://github.com/OpenFreeEnergy/openfe).\n", + "* **Step-by-step tutorials:** [RBFE with the CLI](https://docs.openfree.energy/en/stable/tutorials/rbfe_cli_tutorial.html), [RBFE with the Python API](https://docs.openfree.energy/en/stable/tutorials/rbfe_python_tutorial.html), and tutorials for the [other protocols](https://docs.openfree.energy/en/stable/tutorials/index.html).\n", + "* **Choosing a protocol and checking what it supports:** [Protocols](https://docs.openfree.energy/en/stable/guide/protocols/index.html).\n", + "* **How-to guides** for individual tasks: the [Cookbook](https://docs.openfree.energy/en/stable/cookbook/index.html).\n", + "* **Analysing trajectories:** [openfe-analysis](https://openfe-analysis.openfree.energy/en/latest/) loads the simulation trajectories into MDAnalysis.\n", "\n", - "To learn more about the project, our team and how you can get involved, please visit our [Homepage](https://openfree.energy/) or get in touch at OpenFreeEnergy@omsf.io." + "To learn more about the project, visit [openfree.energy](https://openfree.energy/), or ask questions on the [OpenFE discussions board](https://github.com/orgs/OpenFreeEnergy/discussions)." ] - }, - { - "metadata": {}, - "cell_type": "code", - "outputs": [], - "execution_count": null, - "source": "", - "id": "eb2308d6adfdda77" } ], "metadata": { @@ -3449,7 +3544,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.11" + "version": "3.13.14" }, "widgets": { "application/vnd.jupyter.widget-state+json": {