In silico methods for predicting ligand binding determinants of cytochromes P450

被引:58
作者
de Groot, MJ [1 ]
Kirton, SB
Sutcliffe, MJ
机构
[1] Pfizer Global Res & Dev, Dept Med Informat Struct & Design, Sandwich Labs, Sandwich CT13 9NJ, Kent, England
[2] Astex Technol Ltd, Cambridge CB4 0QA, England
[3] Univ Leicester, Dept Chem, Leicester LE1 7RH, Leics, England
[4] Univ Leicester, Dept Biochem, Leicester LE1 7RH, Leics, England
关键词
cytochrome P450; pharmacophore models; 3D-QSAR; comparative models; homology models; drug metabolism; DMPK;
D O I
10.2174/1568026043387061
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
A large number of computational methodologies have been used to predict, and thus help explain, the metabolism catalysed by the enzymes of the cytochrome P450 superfamily (P450s). A summary of the methodologies and resulting models is presented. This shows that investigations so far have focused on just a few of the many P450s, mainly those that are involved in drug metabolism. The models have evolved Prom simple comparisons of known substrates to more elaborate models requiring considerable computer power. These help to explain and, more importantly, predict the involvement of P450s in the metabolism of specific compounds.
引用
收藏
页码:1803 / 1824
页数:22
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