In silico ADME Studies for New Drug Discovery: From Chemical Compounds to Chinese Herbal Medicines

被引:12
|
作者
Yan, Guojun [1 ]
Wang, Xiaobing [2 ,3 ]
Chen, Zhou [4 ]
Wu, Xianhui [1 ]
Pan, Jinhuo [1 ]
Huang, Yushen [5 ]
Wan, Gang [6 ]
Yang, Zhaogang [7 ]
机构
[1] Nanjing Univ Chinese Med, Sch Pharm, Nanjing 210023, Jiangsu, Peoples R China
[2] Chinese Acad Med Sci, Canc Inst & Hosp, Tumor Marker Res Ctr, Beijing 100021, Peoples R China
[3] Peking Union Med Coll, Beijing 100021, Peoples R China
[4] Nanjing Tech Univ, Coll Mech & Power Engn, Nanjing 211800, Jiangsu, Peoples R China
[5] Univ Florida, Coll Agr & Life Sci, Gainesville, FL 32611 USA
[6] Texas A&M Univ Lib, College Stn, TX 77845 USA
[7] Ohio State Univ, Dept Chem & Biomol Engn, Columbus, OH 43210 USA
关键词
In silico; ADME; prediction; CHM; GENE AMPLIFICATION TARGETS; METABOLIC PATHWAYS; ESCHERICHIA-COLI; PREDICTION; IDENTIFICATION; NETWORK; SYSTEMS; MECHANISM; DOCKING; CYP3A4;
D O I
10.2174/1389200218666170316094104
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
Nowadays, in silico tools are widely used to provide the potential structure of the metabolites formed depending on the site of metabolism. These methods can also highlight the molecular moieties that help to direct the molecule into the cytochrome cavity so that the site of metabolism is in proximity to the catalytic center. In this minireview, we summarized three aspects of the in silico methods in the application of prediction of ADME (absorption, distribution, metabolism and excretion) properties of compounds: structure- based approaches for predicting molecular modeling of drug metabolizing enzymes; in silico metabolite prediction; and pharmacophore models for analysis substrate specificity. Moreover, we also extended the in silico studies in Chinese herbal medicines (CHM) research.
引用
收藏
页码:535 / 539
页数:5
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