SurfDock / model /get_pocket /get_pocket_split_save.py
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import pickle
import os
import glob
from multiprocessing import Pool
import numpy as np
from rdkit import Chem
from scipy.spatial import distance_matrix
from Bio.PDB import *
from Bio.PDB.PDBIO import Select
import warnings
warnings.filterwarnings('ignore')
from rdkit.Chem import AllChem
def extract(ligand, pdb,key):
parser = PDBParser()
structure = parser.get_structure("protein", pdb)
ligand_positions = ligand.GetConformer().GetPositions()
# Get distance between ligand positions (N_ligand, 3) and
# residue positions (N_residue, 3) for each residue
# only select residue with minimum distance of it is smaller than 8A
class ResidueSelect(Select):
def accept_residue(self, residue):
residue_positions = np.array([np.array(list(atom.get_vector())) \
for atom in residue.get_atoms()]) # if "H" not in atom.get_id()
if len(residue_positions.shape) < 2:
print(residue)
return 0
min_dis = np.min(distance_matrix(residue_positions, ligand_positions))
if min_dis < 8.0:
return 1
else:
return 0
io = PDBIO()
io.set_structure(structure)
fn = "BS_tmp_"+str(key)+".pdb"
io.save(fn, ResidueSelect())
try:
m2 = Chem.MolFromPDBFile(fn)
# may contain metal atom, causing MolFromPDBFile return None
if m2 is None:
print("first read PDB fail",fn)
# copy file to tmp dir
remove_zn_dir="./docker_result_remove_ZN"
if not os.path.exists(remove_zn_dir):
os.mkdir(remove_zn_dir)
cmd=f"cp {fn} {remove_zn_dir}"
print(cmd)
os.system(cmd)
fn_remove_zn=os.path.join(remove_zn_dir,fn.replace('.pdb','_remove_ZN.pdb'))
cmd=f"sed -e '/ZN/d' {fn} > {fn_remove_zn}"
os.system(cmd)
print("delete metal atom and get new pdb file",fn_remove_zn)
m2 = Chem.MolFromPDBFile(fn_remove_zn)
else:
os.system("rm -f " + fn)
except:
print("Read PDB fail for other unknow reason",fn)
return m2
def preprocessor(ligand_dir,data_dir):
"""
get pocket from docking result and save to file:(m1,m2)
input:
docking_result_sdf_fn: docking result sdf file, one ligand in sdf file will speed up this process in multi-process
origin_recptor_pdb: receptor pdb file
data_dir: path for save pocket file
output:
0: success
-1: fail
"""
file_flag = os.path.basename(ligand_dir)
try:
m1 = read_molecule(os.path.join(ligand_dir, f'{file_flag}_ligand.sdf'), remove_hs=True, sanitize=True)
if m1 is None: # read mol2 file if sdf file cannot be sanitized
print('Using the .sdf file failed. We found a .mol2 file instead and are trying to use that.')
m1 = read_molecule(os.path.join(ligand_dir, f'{file_flag}_ligand.mol2'), remove_hs=True, sanitize=True)
except Exception as e:
print(e)
return -1
if not os.path.exists(data_dir):
os.mkdir(data_dir)
if m1 is not None: #docking ligand file may be 0 size
if not os.path.exists(os.path.join(data_dir,file_flag)):
os.mkdir(os.path.join(data_dir,file_flag))
if len(m1.GetConformers())==0:
print(f"{file_flag} mol no conformer!")
return -1
try:
pdb_path = os.path.join(ligand_dir, f'{file_flag}_protein_processed.pdb')
m2 = extract(m1,pdb_path ,file_flag)
except:
print(f'extract m2 failed {file_flag}')
return -1
if m2 is None :
print(f"{file_flag} no extracted binding pocket!")
# continue
return -1
if len(m2.GetConformers())==0:
print(f"{file_flag} receptor no conformer!")
return -1
# save pdb pocket
Chem.MolToPDBFile(m2, os.path.join(data_dir,file_flag,f'{file_flag}_pocket.pdb'))
else:
print(f'file done before so skip it {file_flag}')
return 0
# return 0
else:
print("read mol fail")
return -1
def out_sdf(lig,filename):
writer = Chem.SDWriter(filename)
writer.write(lig)
writer.close()
return
def get_pocket_with_water(complex_sample):
status=preprocessor(complex_sample,out_data_dir)
# print(status)
def read_molecule(molecule_file, sanitize=False, calc_charges=False, remove_hs=False):
if molecule_file.endswith('.mol2'):
mol = Chem.MolFromMol2File(molecule_file, sanitize=False, removeHs=False)
elif molecule_file.endswith('.sdf'):
supplier = Chem.SDMolSupplier(molecule_file, sanitize=False, removeHs=False)
mol = supplier[0]
elif molecule_file.endswith('.pdbqt'):
with open(molecule_file) as file:
pdbqt_data = file.readlines()
pdb_block = ''
for line in pdbqt_data:
pdb_block += '{}\n'.format(line[:66])
mol = Chem.MolFromPDBBlock(pdb_block, sanitize=False, removeHs=False)
elif molecule_file.endswith('.pdb'):
mol = Chem.MolFromPDBFile(molecule_file, sanitize=False, removeHs=False)
else:
raise ValueError('Expect the format of the molecule_file to be '
'one of .mol2, .sdf, .pdbqt and .pdb, got {}'.format(molecule_file))
try:
if sanitize or calc_charges:
Chem.SanitizeMol(mol)
if calc_charges:
# Compute Gasteiger charges on the molecule.
try:
AllChem.ComputeGasteigerCharges(mol)
except:
warnings.warn('Unable to compute charges for the molecule.')
if remove_hs:
mol = Chem.RemoveHs(mol, sanitize=sanitize)
except Exception as e:
print(e)
print("RDKit was unable to read the molecule.")
return None
return mol
if __name__ == '__main__':
import time
from multiprocessing import Pool
import os
import gzip
import tqdm
# get pocket and save to file
import argparse
parser = argparse.ArgumentParser(description='Process data from docking result')
parser.add_argument("--PDBbind_path", help="file path for save compounds from docking result.", type=str, \
default='/home/house/caoduanhua/DeepLearningForDock/datasets/equibind_and_diffdock_dataset/PDBBIND/PDBBind_processed/',required=False)
# parser.add_argument("--docking_result", help="docking result filname.maegz,filename.mae or filename.sdf.", type=str,default=None,required=True)
# parser.add_argument("--recptor_pdb", help="receptor pdb file.", type=str,default=None,required=True)
parser.add_argument("--save_dir", help="save pocket file dir.", type=str,default='/home/house/caoduanhua/DeepLearningForDock/datasets/equibind_and_diffdock_dataset/PDBBIND/PDBBind_pocket_8A',required=False)
# parser.add_argument("--prefix", help="Anything that helps you distinguish between compounds.", type=str,default='')
parser.add_argument("--process_num", help="process num for multi process ", type=int,default=60)
args = parser.parse_args()
total_sdfs = [os.path.join(args.PDBbind_path,filename) for filename in os.listdir(args.PDBbind_path)]
file_tuple_list = []
for complex_sample in total_sdfs:
# receptor_fn=args.recptor_pdb
file_tuple_list.append(complex_sample)
print('num compounds to get pocket',len(file_tuple_list))
out_data_dir = args.save_dir
p = Pool(args.process_num)
pbar = tqdm.tqdm(total=len(file_tuple_list))
pbar.set_description('get_pocket:')
update = lambda *args: pbar.update() # set callback function to update pbar state when process end
for file_tuple in file_tuple_list:
p.apply_async(get_pocket_with_water,args = (file_tuple,),callback=update)
print('waiting for processing!')
p.close()
p.join()
print("all pocket done! check the outdir plz!")