Delete evaluation
Browse files- evaluation/prepare_receptor4.py +0 -183
- evaluation/vina_score.py +0 -35
evaluation/prepare_receptor4.py
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#!/usr/bin/env python
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# $Header: /opt/cvs/python/packages/share1.5/AutoDockTools/Utilities24/prepare_receptor4.py,v 1.11 2007/11/28 22:40:22 rhuey Exp $
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#
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import os
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from MolKit import Read
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import MolKit.molecule
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import MolKit.protein
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from AutoDockTools.MoleculePreparation import AD4ReceptorPreparation
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if __name__ == '__main__':
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import sys
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import getopt
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def usage():
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"Print helpful, accurate usage statement to stdout."
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print "Usage: prepare_receptor4.py -r filename"
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print
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print " Description of command..."
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print " -r receptor_filename "
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print " supported file types include pdb,mol2,pdbq,pdbqs,pdbqt, possibly pqr,cif"
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print " Optional parameters:"
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print " [-v] verbose output (default is minimal output)"
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print " [-o pdbqt_filename] (default is 'molecule_name.pdbqt')"
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print " [-A] type(s) of repairs to make: "
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print " 'bonds_hydrogens': build bonds and add hydrogens "
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print " 'bonds': build a single bond from each atom with no bonds to its closest neighbor"
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print " 'hydrogens': add hydrogens"
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print " 'checkhydrogens': add hydrogens only if there are none already"
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print " 'None': do not make any repairs "
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print " (default is 'checkhydrogens')"
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print " [-C] preserve all input charges ie do not add new charges "
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print " (default is addition of gasteiger charges)"
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print " [-p] preserve input charges on specific atom types, eg -p Zn -p Fe"
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print " [-U] cleanup type:"
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print " 'nphs': merge charges and remove non-polar hydrogens"
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print " 'lps': merge charges and remove lone pairs"
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print " 'waters': remove water residues"
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print " 'nonstdres': remove chains composed entirely of residues of"
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print " types other than the standard 20 amino acids"
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print " 'deleteAltB': remove XX@B atoms and rename XX@A atoms->XX"
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print " (default is 'nphs_lps_waters_nonstdres') "
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print " [-e] delete every nonstd residue from any chain"
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print " 'True': any residue whose name is not in this list:"
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print " ['CYS','ILE','SER','VAL','GLN','LYS','ASN', "
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print " 'PRO','THR','PHE','ALA','HIS','GLY','ASP', "
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print " 'LEU', 'ARG', 'TRP', 'GLU', 'TYR','MET', "
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print " 'HID', 'HSP', 'HIE', 'HIP', 'CYX', 'CSS']"
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print " will be deleted from any chain. "
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print " NB: there are no nucleic acid residue names at all "
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print " in the list and no metals. "
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print " (default is False which means not to do this)"
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print " [-M] interactive "
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print " (default is 'automatic': outputfile is written with no further user input)"
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# process command arguments
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try:
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opt_list, args = getopt.getopt(sys.argv[1:], 'r:vo:A:Cp:U:eM:')
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except getopt.GetoptError, msg:
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print 'prepare_receptor4.py: %s' %msg
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usage()
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sys.exit(2)
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# initialize required parameters
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#-s: receptor
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receptor_filename = None
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# optional parameters
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verbose = None
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#-A: repairs to make: add bonds and/or hydrogens or checkhydrogens
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repairs = ''
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#-C default: add gasteiger charges
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charges_to_add = 'gasteiger'
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#-p preserve charges on specific atom types
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preserve_charge_types=None
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#-U: cleanup by merging nphs_lps, nphs, lps, waters, nonstdres
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cleanup = "nphs_lps_waters_nonstdres"
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#-o outputfilename
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outputfilename = None
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#-m mode
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mode = 'automatic'
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#-e delete every nonstd residue from each chain
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delete_single_nonstd_residues = None
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#'r:vo:A:Cp:U:eMh'
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for o, a in opt_list:
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if o in ('-r', '--r'):
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receptor_filename = a
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if verbose: print 'set receptor_filename to ', a
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if o in ('-v', '--v'):
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verbose = True
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if verbose: print 'set verbose to ', True
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if o in ('-o', '--o'):
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outputfilename = a
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if verbose: print 'set outputfilename to ', a
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if o in ('-A', '--A'):
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repairs = a
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if verbose: print 'set repairs to ', a
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if o in ('-C', '--C'):
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charges_to_add = None
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if verbose: print 'do not add charges'
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if o in ('-p', '--p'):
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if not preserve_charge_types:
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preserve_charge_types = a
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else:
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preserve_charge_types = preserve_charge_types + ','+ a
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if verbose: print 'preserve initial charges on ', preserve_charge_types
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if o in ('-U', '--U'):
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cleanup = a
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if verbose: print 'set cleanup to ', a
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if o in ('-e', '--e'):
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delete_single_nonstd_residues = True
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if verbose: print 'set delete_single_nonstd_residues to True'
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if o in ('-M', '--M'):
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mode = a
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if verbose: print 'set mode to ', a
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if o in ('-h', '--'):
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usage()
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sys.exit()
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if not receptor_filename:
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print 'prepare_receptor4: receptor filename must be specified.'
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usage()
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sys.exit()
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#what about nucleic acids???
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mols = Read(receptor_filename)
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if verbose: print 'read ', receptor_filename
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mol = mols[0]
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preserved = {}
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if charges_to_add is not None and preserve_charge_types is not None:
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preserved_types = preserve_charge_types.split(',')
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if verbose: print "preserved_types=", preserved_types
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for t in preserved_types:
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if verbose: print 'preserving charges on type->', t
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if not len(t): continue
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ats = mol.allAtoms.get(lambda x: x.autodock_element==t)
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if verbose: print "preserving charges on ", ats.name
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for a in ats:
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if a.chargeSet is not None:
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preserved[a] = [a.chargeSet, a.charge]
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if len(mols)>1:
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if verbose: print "more than one molecule in file"
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#use the molecule with the most atoms
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ctr = 1
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for m in mols[1:]:
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ctr += 1
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if len(m.allAtoms)>len(mol.allAtoms):
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mol = m
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if verbose: print "mol set to ", ctr, "th molecule with", len(mol.allAtoms), "atoms"
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mol.buildBondsByDistance()
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if verbose:
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print "setting up RPO with mode=", mode,
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print "and outputfilename= ", outputfilename
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print "charges_to_add=", charges_to_add
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print "delete_single_nonstd_residues=", delete_single_nonstd_residues
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RPO = AD4ReceptorPreparation(mol, mode, repairs, charges_to_add,
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cleanup, outputfilename=outputfilename,
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preserved=preserved,
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delete_single_nonstd_residues=delete_single_nonstd_residues)
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if charges_to_add is not None:
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#restore any previous charges
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for atom, chargeList in preserved.items():
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atom._charges[chargeList[0]] = chargeList[1]
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atom.chargeSet = chargeList[0]
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# To execute this command type:
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# prepare_receptor4.py -r pdb_file -o outputfilename -A checkhydrogens
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evaluation/vina_score.py
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from vina import Vina
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from rdkit.Chem.rdForceFieldHelpers import UFFOptimizeMolecule
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from rdkit import Chem
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import numpy as np
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import os
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for i in range(100):
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path = './' + str(i) + '.sdf'
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if os.path.exists(path):
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print(path)
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v = Vina(sf_name='vina')
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v.set_receptor('2rma_protein.pdbqt')
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v.set_ligand_from_file('2rma_ligand'+'.pdbqt')
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# Calculate the docking center
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mol = Chem.MolFromMolFile(path, sanitize=True)
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mol = Chem.AddHs(mol, addCoords=True)
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UFFOptimizeMolecule(mol)
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pos = mol.GetConformer(0).GetPositions()
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center = np.mean(pos, 0)
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v.compute_vina_maps(center=center, box_size=[20, 20, 20])
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# Score the current pose
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energy = v.score()
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print('Score before minimization: %.3f (kcal/mol)' % energy[0])
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# Minimized locally the current pose
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energy_minimized = v.optimize()
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print('Score after minimization : %.3f (kcal/mol)' % energy_minimized[0])
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v.write_pose('ligand_minimized.pdbqt', overwrite=True)
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# Dock the ligand
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v.dock(exhaustiveness=64, n_poses=30)
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v.write_poses('out.pdbqt', n_poses=5, overwrite=True)
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