Literature DB >> 10856424

On the recognition of mammalian microsomal cytochrome P450 substrates and their characteristics: towards the prediction of human p450 substrate specificity and metabolism.

D F Lewis1.   

Abstract

The characteristics of mammalian microsomal P450 xenobiotic substrates are described, particularly with reference to the major P450 isoforms associated with drug metabolism in humans. It is further reported that a relatively small number of molecular, electronic, and physico-chemical properties are required to discriminate between chemicals that exhibit specificity for human P450 isoforms: CYP1A2, CYP2A6, CYP2B6, CYP2C9, CYP2C19, CYP2D6, CYP2E1, and CYP3A4. Molecular templates of superimposed substrates are shown to be complementary with the putative active sites of the relevant enzymes, thus enabling a possible prediction of P450 specificity from structure. Factors contributing to metabolic clearance and binding affinity are also discussed, and methods for their calculation are described.

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Year:  2000        PMID: 10856424     DOI: 10.1016/s0006-2952(00)00335-x

Source DB:  PubMed          Journal:  Biochem Pharmacol        ISSN: 0006-2952            Impact factor:   5.858


  22 in total

1.  A virtual high throughput screen for high affinity cytochrome P450cam substrates. Implications for in silico prediction of drug metabolism.

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Journal:  J Comput Aided Mol Des       Date:  2001-07       Impact factor: 3.686

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Journal:  Pharm Res       Date:  2003-11       Impact factor: 4.200

3.  Physiological regulation, xenobiotic induction, and heterologous expression of P450 monooxygenase gene pc-3 (CYP63A3), a new member of the CYP63 gene cluster in the white-rot fungus Phanerochaete chrysosporium.

Authors:  Harshavardhan Doddapaneni; Venkataramanan Subramanian; Jagjit S Yadav
Journal:  Curr Microbiol       Date:  2005-06-13       Impact factor: 2.188

4.  Role of conserved Asp293 of cytochrome P450 2C9 in substrate recognition and catalytic activity.

Authors:  Jack U Flanagan; Lesley A McLaughlin; Mark J I Paine; Michael J Sutcliffe; Gordon C K Roberts; C Roland Wolf
Journal:  Biochem J       Date:  2003-03-15       Impact factor: 3.857

5.  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

6.  Prediction of genotoxicity of various environmental pollutants by artificial neural network simulation.

Authors:  Ryo Shoji; Masato Kawakami
Journal:  Mol Divers       Date:  2006-06-27       Impact factor: 2.943

7.  The in vitro metabolism of phospho-sulindac amide, a novel potential anticancer agent.

Authors:  Gang Xie; Ka-Wing Cheng; Liqun Huang; Basil Rigas
Journal:  Biochem Pharmacol       Date:  2014-07-18       Impact factor: 5.858

8.  Hepatic cytochrome P450 activity and pollutant concentrations in paradise shelducks and southern black-backed gulls in the South Island of New Zealand.

Authors:  Mihoko Numata; J Paul Fawcett; Dorothy J Saville; Rhonda J Rosengren
Journal:  Ecotoxicology       Date:  2008-05-13       Impact factor: 2.823

9.  Development of a new predictive model for interactions with human cytochrome P450 2A6 using pharmacophore ensemble/support vector machine (PhE/SVM) approach.

Authors:  Max K Leong; Yen-Ming Chen; Hong-Bin Chen; Po-Hong Chen
Journal:  Pharm Res       Date:  2008-12-23       Impact factor: 4.200

10.  Predicting Mouse Liver Microsomal Stability with "Pruned" Machine Learning Models and Public Data.

Authors:  Alexander L Perryman; Thomas P Stratton; Sean Ekins; Joel S Freundlich
Journal:  Pharm Res       Date:  2015-09-28       Impact factor: 4.200

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