作者
Gabriele Cruciani, Massimo Baroni, Paolo Benedetti, Laura Goracci, Cosimo Gianluca Fortuna
发表日期
2013/3/1
来源
Drug Discovery Today: Technologies
卷号
10
期号
1
页码范围
e155-e165
出版商
Elsevier
简介
Chemical modifications of drugs induced by phase I biotransformations significantly affect their pharmacokinetic properties. Because the metabolites produced can themselves have a pharmacological effect and an intrinsic toxicity, medicinal chemists need to accurately predict the sites of metabolism (SoM) of drugs as early as possible. However, site of metabolism prediction is rarely accompanied by a prediction of the relative abundance of the various metabolites. Such a prediction would be a great help in the study of drug–drug interactions and in the process of reducing the toxicity of potential drug candidates. The aim of this paper is to present recent developments in the prediction of xenobiotic metabolism and to use concrete examples to explain the computational mechanism employed.
引用总数
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G Cruciani, M Baroni, P Benedetti, L Goracci… - Drug Discovery Today: Technologies, 2013