Journal
CURRENT DRUG METABOLISM
Volume 15, Issue 5, Pages 514-525Publisher
BENTHAM SCIENCE PUBL LTD
DOI: 10.2174/1389200215666140908102530
Keywords
Cytochrome P450; docking; drug discovery; ligand-based; metabolism; prediction; structure-based
Funding
- CNPq (The National Council for Scientific and Technological Development)
- FAPEG (The State of Goias Research Foundation)
- CAPES (Coordination for the Improvement of Higher Education Personnel), Brazil
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In the drug discovery cascade, metabolism studies should be performed as early as possible to allow an early evaluation of the metabolism profiles of drug candidates. To help design new drug candidates with improved pharmacokinetics, the knowledge of the site of metabolism is necessary. Computational or in silico metabolism approaches can be broadly classified into (i) ligand-based methods, and (ii) structure-based methods. This review highlight tools used to predict P450-mediated metabolism including ligand-based and structure-based approaches. Some examples of successful application of an integrated in silico approach for the prediction of Phase I metabolism for some flavonoids and lead compounds are presented. Moreover, an integrated in silico approach for the prediction of P450mediated metabolism is described.
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