Predicting the binding modes and sites of metabolism of xenobiotics

被引:7
|
作者
Mukherjee, Goutam [1 ,2 ]
Gupta, Pancham Lal [1 ,2 ]
Jayaram, B. [1 ,2 ,3 ]
机构
[1] Indian Inst Technol Delhi, Dept Chem, New Delhi 110016, India
[2] Indian Inst Technol Delhi, Supercomp Facil Bioinformat & Computat Biol, New Delhi 110016, India
[3] Indian Inst Technol Delhi, Kusuma Sch Biol Sci, New Delhi 110016, India
关键词
DRUG-METABOLISM; COMPUTATIONAL PROTOCOL; EFFICIENT GENERATION; CYTOCHROME-P450; 2D6; AM1-BCC MODEL; IN-SILICO; PROTEIN; DOCKING; REACTIVITY; IDENTIFICATION;
D O I
10.1039/c5mb00118h
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Metabolism studies are an essential integral part of ADMET profiling of drug candidates to evaluate their safety and efficacy. Cytochrome P-450 (CYP) metabolizes a wide variety of xenobiotics/drugs. The binding modes of these compounds with CYP and their intrinsic reactivities decide the metabolic products. We report here a novel computational protocol, which comprises docking of ligands to heme-containing CYPs and prediction of binding energies through a newly developed scoring function, followed by analyses of the docked structures and molecular orbitals of the ligand molecules, for predicting the sites of metabolism (SOM) of ligands. The calculated binding free energies of 121 heme-containing protein-ligand docked complexes yielded a correlation coefficient of 0.84 against experiment. Molecular orbital analyses of the resultant top three unique poses of the docked complexes provided a success rate of 87% in identifying the experimentally known sites of metabolism of the xenobiotics. The SOM prediction methodology is freely accessible at www.scfbio-iitd.res.in/software/drugdesign/som.jsp.
引用
收藏
页码:1914 / 1924
页数:11
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