Literature DB >> 22242930

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

Dong Dong1, Baojian Wu.   

Abstract

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.

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Year:  2012        PMID: 22242930     DOI: 10.3109/03602532.2011.645581

Source DB:  PubMed          Journal:  Drug Metab Rev        ISSN: 0360-2532            Impact factor:   4.518


  2 in total

1.  Comparative proteomics among cytochrome p450 family 1 for differential substrate specificity.

Authors:  Siddharth S Kesharwani; Prajwal P Nandekar; Preeti Pragyan; Abhay T Sangamwar
Journal:  Protein J       Date:  2014-12       Impact factor: 2.371

Review 2.  Understanding substrate selectivity of human UDP-glucuronosyltransferases through QSAR modeling and analysis of homologous enzymes.

Authors:  Dong Dong; Roland Ako; Ming Hu; Baojian Wu
Journal:  Xenobiotica       Date:  2012-03-02       Impact factor: 1.908

  2 in total

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