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#!/usr/bin/env python | |
from glob import glob | |
import cv2 | |
pngs = glob('./*.png') | |
for j in pngs: | |
img = cv2.imread(j) | |
cv2.imwrite(j[:-3] + 'jpg', img) |
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import sys | |
from rdkit import Chem | |
from rdkit.Chem import AllChem, TorsionFingerprints | |
from rdkit.ML.Cluster import Butina | |
def gen_conformers(mol, numConfs=100, maxAttempts=1000, pruneRmsThresh=0.1, useExpTorsionAnglePrefs=True, useBasicKnowledge=True, enforceChirality=True): | |
ids = AllChem.EmbedMultipleConfs(mol, numConfs=numConfs, maxAttempts=maxAttempts, pruneRmsThresh=pruneRmsThresh, useExpTorsionAnglePrefs=useExpTorsionAnglePrefs, useBasicKnowledge=useBasicKnowledge, enforceChirality=enforceChirality, numThreads=0) | |
return list(ids) | |