{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "

\"Вернуться\n", "Tikhonova Polina. Homework 7.

" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import numpy as np\n", "import copy\n", "\n", "# Отображение структур\n", "import IPython.display\n", "import ipywidgets\n", "from IPython.display import display,display_svg,SVG,Image, HTML\n", "\n", "# Open Drug Discovery Toolkit\n", "import oddt\n", "import oddt.docking\n", "import oddt.interactions\n", "\n", "# Органика\n", "from rdkit.Chem import Draw\n", "from rdkit.Chem.Draw import IPythonConsole\n", "\n", "import pmx # Модуль для манипулирования pdb " ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ] } ], "source": [ "pdb=pmx.Model('with_ligand.B99990001.pdb')\n", "\n", "for r in pdb.residues[135:]:\n", " print r #посмотрим остатки" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "New pdb" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ] }, { "data": { "text/html": [ "Ligand" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n", "\n" ] } ], "source": [ "# создание объектов белок и лиганда\n", "newpdb = pdb.copy()\n", "for r in newpdb.residues[-3:]:\n", " newpdb.remove_residue(r)\n", "lig = pdb.copy()\n", "del lig.residues[:-3]\n", "for a in lig.atoms:\n", " a.x\n", "display(HTML('New pdb'))\n", "for r in newpdb.residues[135:]:\n", " print r #посмотрим остатки\n", " \n", "display(HTML('Ligand'))\n", "for r in lig.residues:\n", " print r #посмотрим остатки" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": true }, "outputs": [], "source": [ "coordinates = [a.x for a in lig.atoms]\n", "center = np.mean(coordinates, axis=0)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": true }, "outputs": [], "source": [ "newpdb.writePDB('my_prot.pdb')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Подготовка белка для докинга" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Is it the first mol in 1lmp is protein? False :) and MW of this mol is: 16831.041\n" ] } ], "source": [ "prot = oddt.toolkit.readfile('pdb','my_prot.pdb').next()\n", "\n", "prot.OBMol.AddPolarHydrogens()\n", "prot.OBMol.AutomaticPartialCharge()\n", "\n", "print 'Is it the first mol in 1lmp is protein?',prot.protein,':) and MW of this mol is:', prot.molwt " ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ "\n", "***** - Open Babel Depiction\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", "O\n", "H\n", "H\n", "H\n", "H\n", "H\n", "O\n", "O\n", "CH\n", "3\n", "O\n", "O\n", "N\n", "O\n", "\n", "\n", "*****\n", "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/svg+xml": [ "\n", "***** - Open Babel Depiction\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", "O\n", "H\n", "H\n", "H\n", "H\n", "H\n", "H\n", "O\n", "O\n", "O\n", "O\n", "O\n", "N\n", "O\n", "\n", "\n", "*****\n", "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/svg+xml": [ "\n", "***** - Open Babel Depiction\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", "H\n", "H\n", "H\n", "H\n", "H\n", "H\n", "H\n", "H\n", "O\n", "O\n", "N\n", "O\n", "O\n", "O\n", "N\n", "O\n", "\n", "\n", "*****\n", "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/svg+xml": [ "\n", "***** - Open Babel Depiction\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", "O\n", "H\n", "H\n", "H\n", "H\n", "H\n", "O\n", "O\n", "O\n", "O\n", "N\n", "O\n", "\n", "\n", "*****\n", "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/svg+xml": [ "\n", "***** - Open Babel Depiction\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", "O\n", "H\n", "H\n", "H\n", "H\n", "H\n", "O\n", "O\n", "O\n", "O\n", "N\n", "O\n", "\n", "\n", "*****\n", "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/svg+xml": [ "\n", "***** - Open Babel Depiction\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", "H\n", "H\n", "H\n", "H\n", "H\n", "O\n", "O\n", "O\n", "O\n", "O\n", "O\n", "N\n", "O\n", "OH\n", "\n", "\n", "*****\n", "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "smilesNAG = ['CC(=O)N[C@H]1[C@H](O)O[C@H](CO)[C@@H](O)[C@@H]1O']\n", "all_smiles = ['CC(=O)N[C@H]1[C@H](O)O[C@H](CO)[C@@H](O)[C@@H]1O', # original\n", " 'OC(=O)N[C@H]1[C@H](O)O[C@H](CO)[C@@H](O)[C@@H]1O', # OH \n", " '[NH3+]C(=O)N[C@H]1[C@H](O)O[C@H](CO)[C@@H](O)[C@@H]1O', # NH3+\n", " 'C(=O)N[C@H]1[C@H](O)O[C@H](CO)[C@@H](O)[C@@H]1O', # H\n", " 'C2=CC=C(C=C2)C(=O)N[C@H]1[C@H](O)O[C@H](CO)[C@@H](O)[C@@H]1O', # Ph\n", " '[O-]C(=O)C(=O)N[C@H]1[C@H](O)O[C@H](CO)[C@@H](O)[C@@H]1O'] # COO-\n", "mols= []\n", "images =[]\n", "\n", "for s in all_smiles:\n", " m = oddt.toolkit.readstring('smi', s)\n", " if not m.OBMol.Has3D(): \n", " m.make3D(forcefield='mmff94', steps=150)\n", " m.removeh()\n", " m.OBMol.AddPolarHydrogens()\n", "\n", " mols.append(m)\n", " ###with print m.OBMol.Has3D() was found that:\n", " ### deep copy needed to keep 3D , write svg make mols flat\n", " images.append((SVG(copy.deepcopy(m).write('svg'))))\n", "\n", "display_svg(*images)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Докинг" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/tmp/autodock_vina_cxEUSJ\n" ] }, { "data": { "text/html": [ "Параметры докинга" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Координаты центра\n", "--center_x 40.7385450082 --center_y 30.4164680851 --center_z 22.7187446809\n", "Количество точек по каждой оси\n", "--size_x 20 --size_y 20 --size_z 20\n", "Ускорители\n", "--cpu 1\n", "Насколько глубоко ведется поиск (полнота алгоритма)\n", "--exhaustiveness 8\n", "Наибольшее число объектов связываний, которое может быть сгенерировано\n", "--num_modes 3\n", "Максимально допустимый разброс энергии между ллучшим и худшим вариантом связывания\n", "--energy_range 3\n" ] } ], "source": [ "dock_obj= oddt.docking.AutodockVina.autodock_vina(\n", " protein=prot,size=(20,20,20),center=center,\n", " executable='/usr/bin/vina',autocleanup=True, num_modes=3)\n", "\n", "print dock_obj.tmp_dir\n", "#print \" \".join(dock_obj.params) # Опишите выдачу\n", "display(HTML('Параметры докинга'))\n", "print 'Координаты центра'\n", "print \" \".join(dock_obj.params[:6]) \n", "print 'Количество точек по каждой оси'\n", "print \" \".join(dock_obj.params[6:12]) \n", "print 'Ускорители'\n", "print \" \".join(dock_obj.params[12:14]) \n", "print 'Насколько глубоко ведется поиск (полнота алгоритма)'\n", "print \" \".join(dock_obj.params[14:16]) \n", "print 'Наибольшее число объектов связываний, которое может быть сгенерировано'\n", "print \" \".join(dock_obj.params[16:18]) \n", "print 'Максимально допустимый разброс энергии между ллучшим и худшим вариантом связывания'\n", "print \" \".join(dock_obj.params[18:]) " ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": true }, "outputs": [], "source": [ "# do it\n", "res = dock_obj.dock(mols,prot)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": true }, "outputs": [], "source": [ "info = np.array([[i,r.formula, r.data['vina_affinity'], r.data['vina_rmsd_ub'], r.residues[0].name] for i,r in enumerate(res)])" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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formularesiduetypevina_affinityvina_rmsd_ub
12C13H17NO6UNLPh-6.20.000
15C8H13NO8UNLCOO--6.00.000
13C13H17NO6UNLPh-6.06.706
0C8H15NO6UNLoriginal-5.90.000
6C7H15N2O6UNLNH3+-5.70.000
9C7H13NO6UNLH-5.70.000
3C7H13NO7UNLOH-5.70.000
10C7H13NO6UNLH-5.32.777
7C7H15N2O6UNLNH3+-5.25.096
11C7H13NO6UNLH-5.22.782
4C7H13NO7UNLOH-5.23.274
14C13H17NO6UNLPh-5.22.323
16C8H13NO8UNLCOO--5.25.614
17C8H13NO8UNLCOO--5.24.271
5C7H13NO7UNLOH-5.13.479
1C8H15NO6UNLoriginal-5.13.237
8C7H15N2O6UNLNH3+-5.05.167
2C8H15NO6UNLoriginal-5.05.143
\n", "
" ], "text/plain": [ " formula residue type vina_affinity vina_rmsd_ub\n", "12 C13H17NO6 UNL Ph -6.2 0.000\n", "15 C8H13NO8 UNL COO- -6.0 0.000\n", "13 C13H17NO6 UNL Ph -6.0 6.706\n", "0 C8H15NO6 UNL original -5.9 0.000\n", "6 C7H15N2O6 UNL NH3+ -5.7 0.000\n", "9 C7H13NO6 UNL H -5.7 0.000\n", "3 C7H13NO7 UNL OH -5.7 0.000\n", "10 C7H13NO6 UNL H -5.3 2.777\n", "7 C7H15N2O6 UNL NH3+ -5.2 5.096\n", "11 C7H13NO6 UNL H -5.2 2.782\n", "4 C7H13NO7 UNL OH -5.2 3.274\n", "14 C13H17NO6 UNL Ph -5.2 2.323\n", "16 C8H13NO8 UNL COO- -5.2 5.614\n", "17 C8H13NO8 UNL COO- -5.2 4.271\n", "5 C7H13NO7 UNL OH -5.1 3.479\n", "1 C8H15NO6 UNL original -5.1 3.237\n", "8 C7H15N2O6 UNL NH3+ -5.0 5.167\n", "2 C8H15NO6 UNL original -5.0 5.143" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "types = ['original']*3+['OH']*3+['NH3+']*3+['H']*3+['Ph']*3+['COO-']*3\n", "results = pd.DataFrame({'formula':info[:,1], \n", " 'vina_affinity':info[:,2], \n", " 'vina_rmsd_ub':info[:,3], \n", " 'residue':info[:,4], \n", " 'type':types}, \n", " index=info[:,0].astype(int)).sort_values(by='vina_affinity', ascending=False)\n", "results" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Анализ докинга" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "for i,r in enumerate(res):\n", " hbs = oddt.interactions.hbonds(prot,r)\n", " stack = oddt.interactions.pi_stacking(prot,r)\n", " phob = oddt.interactions.hydrophobic_contacts(prot,r)" ] }, { "cell_type": "code", "execution_count": 60, "metadata": { "collapsed": true }, "outputs": [], "source": [ "for i,r in enumerate(res):\n", " r.write(filename='r%s.pdb' % i, format='pdb', overwrite=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Визуализируем лучший лиганд" ] }, { "cell_type": "code", "execution_count": 61, "metadata": {}, "outputs": [ { "data": { "image/png": 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YuM+vbQkLgQvXNdaPHRykNiL3HYYBfO97wKc/3Z4I8rpfamwH2NuYmRGJ6oWF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\nXbjNKzf/d2kRwo1HPk8VhwcOMPnyYBgqQiFaTa8UtdQ/mfgpCpG+2VlS/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RtvrKzCcxwK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\n3ssQIdaGWhLIYVomgZJE5z2Tu2KRQrWuKyp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"text/plain": [ "" ] }, "execution_count": 61, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import __main__\n", "__main__.pymol_argv = ['pymol','-qc'] # Pymol: quiet and no GUI\n", "from time import sleep\n", "import pymol\n", "pymol.finish_launching()\n", "\n", "#for index in [1,2,3]:\n", "pymol.cmd.reinitialize()\n", "\n", "pymol.cmd.load('r%d.pdb'%results.index.get_values()[0])\n", "pymol.cmd.do('''\n", " load my_prot.pdb \n", " show cartoon, my_prot\n", " hide lines, my_prot\n", " orient\n", " zoom r1, 9\n", " rotate x,150\n", " png pic0.png\n", "''')\n", " # Desired pymol commands here to produce and save figures\n", "sleep(2.5) # (in seconds)\n", "Image(filename='pic0.png')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Методы из статьи про ODDT, которые можно было бы использоватьв этом задании" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "C помощью oodt.virtualscreening можно было бы полностью провести докинг с помощью того же Autodock Vina.\n", "А также можно было бы посчитать score докинга с помощью RFscore и NNscore." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Download this notebook " ] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.13" } }, "nbformat": 4, "nbformat_minor": 2 }