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#!/usr/bin/env python | |
# Thanks to Peter Schmidtke for the guts of this script | |
# https://pschmidtke.github.io/blog/rdkit/crystallography/small%20molecule%20xray/xray/database/2021/01/25/cod-and-torsion-angles.html | |
import pandas as pd | |
from rdkit.Chem import rdMolTransforms | |
import numpy as np | |
suppl = Chem.SDMolSupplier('out.sdf',removeHs=False) | |
torsions=pd.read_table("list_torsion_patterns.txt",header=None,usecols=[1]) | |
patterns=torsions[1][:3] | |
for torsionSmarts in patterns: | |
print(torsionSmarts) | |
angles = np.zeros(360) | |
total_matches = 0 | |
torsionQuery = Chem.MolFromSmarts(torsionSmarts) | |
# these SMARTS have atom maps, so convert them | |
# http://www.rdkit.org/docs/GettingStartedInPython.html#atom-map-indices-in-smarts | |
index_map = {} | |
for atom in torsionQuery.GetAtoms() : | |
map_num = atom.GetAtomMapNum() | |
if map_num: | |
index_map[map_num-1] = atom.GetIdx() | |
map_list = [index_map[x] for x in sorted(index_map)] | |
# loop through the molecules | |
for mol in suppl: | |
if mol is None: continue | |
# get the 3D geometry | |
conf = mol.GetConformer(0) | |
matches = mol.GetSubstructMatches(torsionQuery) | |
for match in matches: | |
total_matches += 1 # to normalize | |
# get the atom maps from the SMARTS match | |
mapped = [match[x] for x in map_list] | |
angle = rdMolTransforms.GetDihedralDeg(conf, mapped[0],mapped[1],mapped[2],mappped[3]) | |
if (angle < 0.0): | |
angle += 360.0 | |
angles[angle] += 1 | |
angles = angles / total_matches | |
print(angles) |
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