Literature DB >> 18237107

Prediction of metabolism by cytochrome P450 2C9: alignment and docking studies of a validated database of substrates.

Matthew J Sykes1, Ross A McKinnon, John O Miners.   

Abstract

A validated database of 70 molecules known to undergo biotransformation by CYP2C9 was collated. The molecular alignment program ROCS was used with the query molecule flurbiprofen as a basis for predicting the correct active site orientation of the CYP2C9 database molecules. The quality of the results obtained was excellent, with 39 of the first 44 molecules (89%) sorted by ROCS combination score having alignments that accounted for the experimentally observed site of oxidation. Transposition of the first 39 correctly aligned molecules into the CYP2C9 active site yielded an average site of metabolism to iron heme distance of 5.21 A, in good agreement with previous experimental observations. Molecular docking studies were also undertaken, but the results were less successful than the ROCS-based alignment method, indicating that ligand-based approaches with chemical typing are important in the prediction of metabolism by CYP2C9.

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Year:  2008        PMID: 18237107     DOI: 10.1021/jm7009793

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  13 in total

1.  Integrating computational and mixture-based screening of combinatorial libraries.

Authors:  Austin B Yongye; Clemencia Pinilla; Jose L Medina-Franco; Marc A Giulianotti; Colette T Dooley; Jon R Appel; Adel Nefzi; Thomas Scior; Richard A Houghten; Karina Martínez-Mayorga
Journal:  J Mol Model       Date:  2010-09-21       Impact factor: 1.810

2.  Accumulation properties of polychlorinated biphenyl congeners in Yusho patients and prediction of their cytochrome P450-dependent metabolism by in silico analysis.

Authors:  Shusaku Hirakawa; Takashi Miyawaki; Tsuguhide Hori; Jumboku Kajiwara; Susumu Katsuki; Masashi Hirano; Yuka Yoshinouchi; Hisato Iwata; Chikage Mitoma; Masutaka Furue
Journal:  Environ Sci Pollut Res Int       Date:  2017-06-21       Impact factor: 4.223

Review 3.  Substrate binding to cytochromes P450.

Authors:  Emre M Isin; F Peter Guengerich
Journal:  Anal Bioanal Chem       Date:  2008-07-13       Impact factor: 4.142

4.  Combination of docking, molecular dynamics and quantum mechanical calculations for metabolism prediction of 3,4-methylenedioxybenzoyl-2-thienylhydrazone.

Authors:  Rodolpho C Braga; Vinícius M Alves; Carlos A M Fraga; Eliezer J Barreiro; Valéria de Oliveira; Carolina H Andrade
Journal:  J Mol Model       Date:  2011-09-08       Impact factor: 1.810

Review 5.  Predicting drug metabolism: experiment and/or computation?

Authors:  Johannes Kirchmair; Andreas H Göller; Dieter Lang; Jens Kunze; Bernard Testa; Ian D Wilson; Robert C Glen; Gisbert Schneider
Journal:  Nat Rev Drug Discov       Date:  2015-04-24       Impact factor: 84.694

6.  Site of metabolism prediction on cytochrome P450 2C9: a knowledge-based docking approach.

Authors:  Akos Tarcsay; Róbert Kiss; György M Keseru
Journal:  J Comput Aided Mol Des       Date:  2010-04-02       Impact factor: 3.686

7.  Potentially increasing the metabolic stability of drug candidates via computational site of metabolism prediction by CYP2C9: The utility of incorporating protein flexibility via an ensemble of structures.

Authors:  Matthew L Danielson; Prashant V Desai; Michael A Mohutsky; Steven A Wrighton; Markus A Lill
Journal:  Eur J Med Chem       Date:  2011-06-23       Impact factor: 6.514

8.  Identification, structure-activity relationships and molecular modeling of potent triamine and piperazine opioid ligands.

Authors:  Austin B Yongye; Jon R Appel; Marc A Giulianotti; Colette T Dooley; Jose L Medina-Franco; Adel Nefzi; Richard A Houghten; Karina Martínez-Mayorga
Journal:  Bioorg Med Chem       Date:  2009-06-21       Impact factor: 3.641

Review 9.  Computational prediction of metabolism: sites, products, SAR, P450 enzyme dynamics, and mechanisms.

Authors:  Johannes Kirchmair; Mark J Williamson; Jonathan D Tyzack; Lu Tan; Peter J Bond; Andreas Bender; Robert C Glen
Journal:  J Chem Inf Model       Date:  2012-02-17       Impact factor: 4.956

10.  Combining structure- and ligand-based approaches to improve site of metabolism prediction in CYP2C9 substrates.

Authors:  Laura J Kingsley; Gregory L Wilson; Morgan E Essex; Markus A Lill
Journal:  Pharm Res       Date:  2014-09-11       Impact factor: 4.200

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