Literature DB >> 22593031

Predicting drug metabolism by cytochrome P450 2C9: comparison with the 2D6 and 3A4 isoforms.

Patrik Rydberg1, Lars Olsen.   

Abstract

By the use of knowledge gained through modeling of drug metabolism mediated by the cytochrome P450 2D6 and 3A4 isoforms, we constructed a 2D-based model for site-of-metabolism prediction for the cytochrome P450 2C9 isoform. The similarities and differences between the models for the 2C9 and 2D6 isoforms are discussed through structural knowledge from the X-ray crystal structures and trends in experimental data. The final model was validated on an independent test set, resulting in an area under the curve value of 0.92, and a site of metabolism was found among the top two ranked atoms for 77% of the compounds.
Copyright © 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2012        PMID: 22593031     DOI: 10.1002/cmdc.201200160

Source DB:  PubMed          Journal:  ChemMedChem        ISSN: 1860-7179            Impact factor:   3.466


  14 in total

1.  Metoclopramide is metabolized by CYP2D6 and is a reversible inhibitor, but not inactivator, of CYP2D6.

Authors:  Mara R Livezey; Erran D Briggs; Amanda K Bolles; Leslie D Nagy; Rina Fujiwara; Laura Lowe Furge
Journal:  Xenobiotica       Date:  2013-09-06       Impact factor: 1.908

Review 2.  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

3.  Coumarin Derivatives as Substrate Probes of Mammalian Cytochromes P450 2B4 and 2B6: Assessing the Importance of 7-Alkoxy Chain Length, Halogen Substitution, and Non-Active Site Mutations.

Authors:  Jingbao Liu; Manish B Shah; Qinghai Zhang; C David Stout; James R Halpert; P Ross Wilderman
Journal:  Biochemistry       Date:  2016-03-24       Impact factor: 3.162

4.  Deep Learning to Predict the Formation of Quinone Species in Drug Metabolism.

Authors:  Tyler B Hughes; S Joshua Swamidass
Journal:  Chem Res Toxicol       Date:  2017-02-02       Impact factor: 3.739

5.  Mechanism-based inactivation of human cytochrome P450 3A4 by two piperazine-containing compounds.

Authors:  Amanda K Bolles; Rina Fujiwara; Erran D Briggs; Amin A Nomeir; Laura Lowe Furge
Journal:  Drug Metab Dispos       Date:  2014-10-01       Impact factor: 3.922

6.  Drug-like property profiling of novel neuroprotective compounds to treat acute ischemic stroke: guidelines to develop pleiotropic molecules.

Authors:  Paul A Lapchak
Journal:  Transl Stroke Res       Date:  2013-06       Impact factor: 6.829

7.  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

Review 8.  Modeling of interactions between xenobiotics and cytochrome P450 (CYP) enzymes.

Authors:  Hannu Raunio; Mira Kuusisto; Risto O Juvonen; Olli T Pentikäinen
Journal:  Front Pharmacol       Date:  2015-06-12       Impact factor: 5.810

9.  Metabolic Forest: Predicting the Diverse Structures of Drug Metabolites.

Authors:  Tyler B Hughes; Na Le Dang; Ayush Kumar; Noah R Flynn; S Joshua Swamidass
Journal:  J Chem Inf Model       Date:  2020-09-16       Impact factor: 4.956

10.  Rationalization of stereospecific binding of propranolol to cytochrome P450 2D6 by free energy calculations.

Authors:  Gabor Nagy; Chris Oostenbrink
Journal:  Eur Biophys J       Date:  2012-10-20       Impact factor: 1.733

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