{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# MolDrug without receptor\n", "\n", "One of the strengths of MolDrug is the ability to optimize on the chemical space based on docking results. However it could also be used to optimize some QSAR function when the information of the receptor is not available. Some previous of this application where show [here](https://moldrug.readthedocs.io/en/latest/notebooks/how_to.html#Create-your-own-cost-function)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Imports and creating working directory" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "from pyexpat import model\n", "from moldrug import utils\n", "from rdkit import Chem\n", "from rdkit.Chem import AllChem, Lipinski, Draw\n", "import multiprocessing as mp\n", "import shutil, os, gzip, requests, tempfile\n", "\n", "tmp_path = tempfile.TemporaryDirectory()\n", "wd = tmp_path.name\n", "# or\n", "# os.makedirs('tutorial_mwr', exist_ok=True)\n", "# wd = os.path.abspath('tutorial_mwr')\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Getting the CReM data base" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "url = \"http://www.qsar4u.com/files/cremdb/replacements02_sc2.db.gz\"\n", "r = requests.get(url, allow_redirects=True)\n", "crem_dbgz_path = os.path.join(wd,'crem.db.gz')\n", "crem_db_path = os.path.join(wd,'crem.db')\n", "open(crem_dbgz_path, 'wb').write(r.content)\n", "with gzip.open(crem_dbgz_path, 'rb') as f_in:\n", " with open(crem_db_path, 'wb') as f_out:\n", " shutil.copyfileobj(f_in, f_out)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Define the function\n", "Let's assume that our QSAR model give us that the best molecules are those ones that have more hydrogen bonds acceptor and donors. Because MolDrug minimize we must use the negative of this number." ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "def QSAR_model_cost(Individual:utils.Individual) -> utils.Individual:\n", " \"\"\"Simple cost function\n", "\n", " Parameters\n", " ----------\n", " Individual : utils.Individual\n", " An initialize Individual\n", "\n", " Returns\n", " -------\n", " utils.Individual\n", " The individual with cost sum of HBA and HBD with negative sign\n", " \"\"\"\n", " NumHAcceptors = Lipinski.NumHAcceptors(Individual.mol)\n", " NumHDonors = Lipinski.NumHDonors(Individual.mol)\n", " model = NumHAcceptors + NumHDonors\n", " Individual.cost = -model\n", " return Individual\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Set MolDrug run" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The next code is a duplication for the implementation of `QSAR_model_cost` fitness function.\n", "Is written in this way due to some possible problems that might arise because the execution of multiprocessing inside `GA` on an interactive Python like IPython-Notebook.\n", "\n", "This will create an importable function in your working directory. In case you execute this code in a python script rather that in a Notebook, consider to put the execution of the class after the section `if __name__ == '__main__:'`\n" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "\n", "function_string = \"\"\"\n", "from rdkit.Chem import Lipinski\n", "def QSAR_model_cost(Individual):\n", " NumHAcceptors = Lipinski.NumHAcceptors(Individual.mol)\n", " NumHDonors = Lipinski.NumHDonors(Individual.mol)\n", " model = NumHAcceptors + NumHDonors\n", " Individual.cost = -model\n", " return Individual\n", "\"\"\"\n", "with open('my_cost.py', 'w') as f:\n", " f.write(function_string)\n", "from my_cost import QSAR_model_cost" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "Creating the first population with 50 members:\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 50/50 [00:01<00:00, 43.08it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Initial Population: Best Individual: Individual(idx = 40, smiles = CN(C)N(O)N=O, cost = -5)\n", "Accepted rate: 50 / 50\n", "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Evaluating generation 1 / 10:\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 48/48 [00:01<00:00, 34.57it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Generation 1: Best Individual: Individual(idx = 63, smiles = O=P(O)(O)CCP(=O)(O)O, cost = -6).\n", "Accepted rate: 28 / 48\n", "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Evaluating generation 2 / 10:\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 45/45 [00:01<00:00, 34.59it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Generation 2: Best Individual: Individual(idx = 63, smiles = O=P(O)(O)CCP(=O)(O)O, cost = -6).\n", "Accepted rate: 18 / 45\n", "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Evaluating generation 3 / 10:\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 48/48 [00:01<00:00, 41.87it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Generation 3: Best Individual: Individual(idx = 175, smiles = N=C(N)NN=CC(=O)O, cost = -7).\n", "Accepted rate: 19 / 48\n", "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Note: The mutation on Individual(idx = 145, smiles = Nc1nc2ccccc2[n+]([O-])n1, cost = -5) did not work, it will be returned the same individual\n", "Evaluating generation 4 / 10:\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 48/48 [00:01<00:00, 37.42it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Generation 4: Best Individual: Individual(idx = 200, smiles = COc1nc(N)nc(OC)c1N=O, cost = -8).\n", "Accepted rate: 12 / 48\n", "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Note: The mutation on Individual(idx = 145, smiles = Nc1nc2ccccc2[n+]([O-])n1, cost = -5) did not work, it will be returned the same individual\n", "Note: The mutation on Individual(idx = 145, smiles = Nc1nc2ccccc2[n+]([O-])n1, cost = -5) did not work, it will be returned the same individual\n", "Evaluating generation 5 / 10:\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 46/46 [00:01<00:00, 31.64it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Generation 5: Best Individual: Individual(idx = 275, smiles = NC(C(=O)O)C(O)C(O)C(O)CO, cost = -12).\n", "Accepted rate: 12 / 46\n", "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Note: The mutation on Individual(idx = 145, smiles = Nc1nc2ccccc2[n+]([O-])n1, cost = -5) did not work, it will be returned the same individual\n", "Evaluating generation 6 / 10:\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 48/48 [00:01<00:00, 33.12it/s]\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Generation 6: Best Individual: Individual(idx = 275, smiles = NC(C(=O)O)C(O)C(O)C(O)CO, cost = -12).\n", "Accepted rate: 14 / 48\n", "\n", "Evaluating generation 7 / 10:\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 49/49 [00:01<00:00, 31.17it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Generation 7: Best Individual: Individual(idx = 275, smiles = NC(C(=O)O)C(O)C(O)C(O)CO, cost = -12).\n", "Accepted rate: 7 / 49\n", "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Evaluating generation 8 / 10:\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 49/49 [00:01<00:00, 29.06it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Generation 8: Best Individual: Individual(idx = 275, smiles = NC(C(=O)O)C(O)C(O)C(O)CO, cost = -12).\n", "Accepted rate: 13 / 49\n", "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Evaluating generation 9 / 10:\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 50/50 [00:01<00:00, 30.44it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Generation 9: Best Individual: Individual(idx = 275, smiles = NC(C(=O)O)C(O)C(O)C(O)CO, cost = -12).\n", "Accepted rate: 13 / 50\n", "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Evaluating generation 10 / 10:\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 49/49 [00:01<00:00, 26.09it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Generation 10: Best Individual: Individual(idx = 275, smiles = NC(C(=O)O)C(O)C(O)C(O)CO, cost = -12).\n", "Accepted rate: 13 / 49\n", "\n", "\n", "=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+\n", "\n", "The simulation finished successfully after 10 generations with a population of 50 individuals. A total number of 529 Individuals were seen during the simulation.\n", "Initial Individual: Individual(idx = 0, smiles = CCCC, cost = 0)\n", "Final Individual: Individual(idx = 275, smiles = NC(C(=O)O)C(O)C(O)C(O)CO, cost = -12)\n", "The cost function dropped in 12 units.\n", "\n", "=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+\n", "\n", "Total time (10 generations): 480.95 (s).\n", "Finished at Mon Sep 4 19:54:16 2023.\n", "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "ga = utils.GA(\n", " Chem.MolFromSmiles('CCCC'),\n", " crem_db_path = os.path.join(tmp_path.name, 'crem.db'),\n", " maxiter = 10,\n", " popsize = 50,\n", " costfunc=QSAR_model_cost,\n", " mutate_crem_kwargs={\n", " 'ncores': mp.cpu_count()\n", " },\n", " costfunc_kwargs={}\n", " )\n", "ga(12)\n" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Draw.MolsToGridImage([ga.InitIndividual.mol, ga.pop[0].mol])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As you can see, this simulation is really good: On every single carbon atom it is bound, at least, one HBD and/or HBA! (Your results might differ)" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[Text(0.5, 1.0, 'best_cost')]" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "fig, ax = plt.subplots(nrows=3, figsize = (16,9))\n", "ax[0].plot([individual.cost for individual in ga.SawIndividuals], '-o')\n", "ax[0].set(title = 'cost')\n", "ax[1].plot([cost for cost in ga.avg_cost], '-o')\n", "ax[1].set(title = 'avg_cost')\n", "ax[2].plot([cost for cost in ga.best_cost], '-o')\n", "ax[2].set(title = 'best_cost')" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3.9.13 ('moldrug')", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.7" }, "orig_nbformat": 4, "vscode": { "interpreter": { "hash": "580997a69bc0f3991857025e1d93e87ed090e2c1fa4aff0ca8e9824f56baf8cb" } } }, "nbformat": 4, "nbformat_minor": 2 }