Source code for scopy.ScoRepresent.efg

# -*- coding: utf-8 -*-

#Created on Tue Sep  3 10:31:34 2019
#@Author: Zhi-Jiang Yang, Dong-Sheng Cao
#@Institution: CBDD Group, Xiangya School of Pharmaceutical Science, CSU, China,
#♥I love Princess Zelda forever♥

import pickle, gzip, os, csv
from ..ScoBase.SmartProcess import _CheckPattl
from .. import ScoConfig
from rdkit import Chem

def _Generatepkl(endpoint):
    *Internal Use Only*
    the pkl file in this package, storing the rdkit.Chem.rdchem.Mol object,
    was generated under the environment whose rdkit version is '2018.03.4'.
    Since, the file may can't be successfully loaded. This function is designed for
    re-generating a pkl file under this situation.
    :param endpoint: the name of file
    :return: None
    file = os.path.join(ScoConfig.EFGDir,'{}'.txt.format(endpoint))
    with open(file,'r',encoding='utf-8') as f_obj:
        lines = csv.reader(f_obj,delimiter='\t')
        lines = tuple(lines)
    for line in lines:
        rej,acc = line[-2],line[-1]
        if rej:
            rej = eval(rej) 
            rej = [Chem.MolFromSmarts(x) for x in rej]
            line[-2] = rej         
        if acc:
            acc = eval(acc) 
            acc = [Chem.MolFromSmarts(x) for x in acc]
            line[-1] = acc          
    out = pickle.dumps(lines,protocol=-1)
    outfile = os.path.join(ScoConfig.EFGDir,'{}.pkl.gz'.format(endpoint))
    with,'wb') as f_out:

[docs]class EFG(object): """classification system termed “extended functional groups” (EFG), which are an extension of a set previously used by the CheckMol software, that covers in addition heterocyclic compound classes and periodic table groups. 583 bits Reference: (1) `Salmina, Elena, Norbert Haider and Igor Tetko (2016)`_. :param useCount: If set to True, the fingerprint will presented in the format of counter(not only 1 and 0) else, would be binary, defaults to True :type useCounter: bool, optional .. _Salmina, Elena, Norbert Haider and Igor Tetko (2016): """ def __init__(self, useCount): """Initialization """ self.useCount = useCount file = os.path.join(ScoConfig.EFGDir,'Extended_Functional_Groups.pkl.gz') try: pattl = pickle.load(,'rb')) except: _Generatepkl('Extended_Functional_Groups') pattl = pickle.load(,'rb')) self.rejected = [patt[-2] for patt in pattl] self.accepted = [patt[-1] for patt in pattl] = [patt[0] for patt in pattl]
[docs] def CalculateEFG(self,mol): """Calulating EFG fingerprint Note: following bits are always to be set as 1 or 0: bit0, bit1, bit2, bit59, bit60, bit61, bit62, bit209, bit218, bit544, bit545. It's diffcult to counter them like others bits, because these bits contain "not" :param mol: molecule :type mol: rdkit.Chem.rdchem.Mol :return: fingerprint :rtype: list """ Bool = _CheckPattl(mol, self.rejected, self.accepted) if not self.useCount: fp = [x+0 for x in Bool] else: fp = [0]*583 for idx,bo,rejl,accl in zip(range(583),Bool,self.rejected,self.accepted): if bo: if not rejl: fp[idx] = sum([len(mol.GetSubstructMatches(acc)) for acc in accl]) else: fp[idx] = 1 else: pass return fp
if '__main__' == __name__: smis = [ 'C1=CC=CC(C(Br)C)=C1', 'C1=CC2NC(=O)CC3C=2C(C(=O)C2C=CC=CC=23)=C1', 'C1=CC=C2C(=O)C3C=CNC=3C(=O)C2=C1', 'C1=NC(CCN)=CN1', 'C1CCCC(CCO)C1', 'C1=CC=C2N=C(O)C=CC2=C1', 'C(OC)1=C(C)C=C2OC[C@]([H])3OC4C(C)=C(OC)C=CC=4C(=O)[C@@]3([H])C2=C1C', 'C1=C2N=CC=NC2=C2N=CNC2=C1', 'C1=C(O)C=CC(O)=C1', 'CCC1(c2ccccc2)C(=O)NC(=O)NC1=O', 'N1=CN=CN=C1', 'C1=C2C=CC=CC2=CC2C=CC=CC1=2', #NonGenotoxic_Carcinogenicity 'C1=CC=C2C(=O)CC(=O)C2=C1', #Pains 'C1=CC=CC(COCO)=C1', #Potential_Electrophilic 'N1=NC=CN1C=O', #Promiscuity 'CC(=O)OC(=O)C1C=COC1', #Skin_Sensitization 'S', 'CCCCC(=O)[H]', #Biodegradable 'C1=CN=C(C(=O)O)C=C1', #Chelating 'C(OC)1=CC=C2OCC3OC4C=C(OC)C=CC=4C(=O)C3C2=C1', 'C1=C2N=CC=NC2=C2N=CNC2=C1', #Genotoxic_Carcinogenicity_Mutagenicity 'N(CC)(CCCCC)C(=S)N', #Idiosyncratic ] fp = EFG(useCount=0) mol = Chem.MolFromSmiles(smis[3]) fp = fp.CalculateEFG(mol) # fps = np.array(fps) print(fp)