Literature DB >> 11922953

Pharmacophore modeling of cytochromes P450.

Marcel J de Groot1, Sean Ekins.   

Abstract

Understanding the binding of ligands in the active site of a membrane-bound protein is difficult in the absence of a crystal structure. When these proteins are the enzymes involved in drug metabolism, it leaves little option but to use site-directed mutagenesis and in vitro studies to provide critical information relating to determinants of binding affinity. Pharmacophore models and three-dimensional quantitative structure-activity relationships have been used either alone or in combination with protein homology models to provide this information for cytochrome P450s. At present, their application has been directed to the major enzymes but this may escalate in future as more in vitro data are generated for other P450s. The following review outlines the methodologies and models as well as future prospects for applying these technologies to P450s in the hope that future drugs will be selected with increased metabolic stability and fewer incidences of undesirable drug-drug interactions.

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Year:  2002        PMID: 11922953     DOI: 10.1016/s0169-409x(02)00009-1

Source DB:  PubMed          Journal:  Adv Drug Deliv Rev        ISSN: 0169-409X            Impact factor:   15.470


  14 in total

1.  Evaluation of descriptors and classification schemes to predict cytochrome substrates in terms of chemical information.

Authors:  John H Block; Douglas R Henry
Journal:  J Comput Aided Mol Des       Date:  2008-01-23       Impact factor: 3.686

Review 2.  Modeling kinetics of subcellular disposition of chemicals.

Authors:  Stefan Balaz
Journal:  Chem Rev       Date:  2009-05       Impact factor: 60.622

Review 3.  Computational methods in drug discovery.

Authors:  Gregory Sliwoski; Sandeepkumar Kothiwale; Jens Meiler; Edward W Lowe
Journal:  Pharmacol Rev       Date:  2013-12-31       Impact factor: 25.468

Review 4.  Current Approaches for Investigating and Predicting Cytochrome P450 3A4-Ligand Interactions.

Authors:  Irina F Sevrioukova; Thomas L Poulos
Journal:  Adv Exp Med Biol       Date:  2015       Impact factor: 2.622

5.  Understanding the determinants of selectivity in drug metabolism through modeling of dextromethorphan oxidation by cytochrome P450.

Authors:  Julianna Oláh; Adrian J Mulholland; Jeremy N Harvey
Journal:  Proc Natl Acad Sci U S A       Date:  2011-03-28       Impact factor: 11.205

6.  Symmetric kv1.5 blockers discovered by focused screening.

Authors:  Jonas Boström
Journal:  ACS Med Chem Lett       Date:  2012-08-16       Impact factor: 4.345

Review 7.  Metabolic stability for drug discovery and development: pharmacokinetic and biochemical challenges.

Authors:  Collen M Masimirembwa; Ulf Bredberg; Tommy B Andersson
Journal:  Clin Pharmacokinet       Date:  2003       Impact factor: 6.447

Review 8.  Recent advances in ligand-based drug design: relevance and utility of the conformationally sampled pharmacophore approach.

Authors:  Chayan Acharya; Andrew Coop; James E Polli; Alexander D Mackerell
Journal:  Curr Comput Aided Drug Des       Date:  2011-03       Impact factor: 1.606

Review 9.  Molecular characterization of CYP2B6 substrates.

Authors:  Sean Ekins; Manisha Iyer; Matthew D Krasowski; Evan D Kharasch
Journal:  Curr Drug Metab       Date:  2008-06       Impact factor: 3.731

Review 10.  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

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