Substrate selectivity of drug-metabolizing cytochrome P450s predicted from crystal structures and in silico modeling

被引:34
作者
Dong, Dong [1 ]
Wu, Baojian [1 ]
Chow, Diana [1 ]
Hu, Ming [1 ]
机构
[1] Univ Houston, Coll Pharm, Dept Pharmacol & Pharmaceut Sci, Houston, TX 77030 USA
关键词
Drug metabolism; CYPs; crystal structure; in silico modeling; pharmacophore; CoMFA; ACTIVE-SITE RESIDUES; PHARMACOPHORE MODEL; COMBINED PROTEIN; BINDING SITE; PHARMACEUTICAL-INDUSTRY; AMINO-ACID; 3A4; 2D6; INHIBITORS; SPECIFICITY;
D O I
10.3109/03602532.2011.645580
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Enormous efforts toward predicting the metabolic fate of a drug have been driven by the high attrition rate in drug development. To accelerate such efforts, it is critical to elucidate the molecular mechanisms of drug recognition by drug-metabolizing enzymes. Therefore, it is not surprising that an increasing number of crystal structures have been determined (by X-ray crystallography) and numerous insightful in silico (computational) models have been established for the most important metabolic enzymes, cytochrome P450s (CYPs). In this review, we provide a detailed analysis of the available crystal structures for CYPs to reveal the structural features and protein flexibility determining substrate selectivity. The ligand-based in silico models (including pharmacophore and molecular field analysis models) are also discussed, with a focus on their ability to characterize the structural features of the substrates for various CYP isoforms.
引用
收藏
页码:192 / 208
页数:17
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