Literature DB >> 14642599

Comparative molecular field analysis and QSAR on substrates binding to cytochrome p450 2D6.

Shahriar Haji-Momenian1, Jayson M Rieger, Timothy L Macdonald, Milton L Brown.   

Abstract

In this study, we utilized comparative molecular field analysis (CoMFA) to gain a better understanding of the steric and electrostatic features of the cytochrome p450 2D6 (CYP2D6) active site. The training set consists of 24 substrates with reported K(M) values from liver microsomal CYP2D6 spanning an activity range of almost three log units. The low energy conformers were fit by root mean square (RMS) to minaprine at the site of metabolism and to the protonated nitrogen. In this manner, we constructed two CoMFA models, one model with a distance constraint and another without. The model with the distance parameter (non-cross-validated R(2)=0.99) was approximately equal to the CoMFA without a distance parameter (non-cross-validated R(2)=0.98). Validation of our CoMFA was accomplished by predicting the K(M) values of 15 diverse CYP2D6 substrates not in the original training set resulting in a predictive R(2)=0.62. Finally, we also pursued correlations of pK(a) and log P with CYP2D6 substrate K(M) in an effort to investigate other physicochemical properties.

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Year:  2003        PMID: 14642599     DOI: 10.1016/s0968-0896(03)00525-x

Source DB:  PubMed          Journal:  Bioorg Med Chem        ISSN: 0968-0896            Impact factor:   3.641


  6 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

3.  Molecular properties and CYP2D6 substrates: central nervous system therapeutics case study and pattern analysis of a substrate database.

Authors:  Laura K Chico; Heather A Behanna; Wenhui Hu; Guifa Zhong; Saktimayee Mitra Roy; D Martin Watterson
Journal:  Drug Metab Dispos       Date:  2009-08-06       Impact factor: 3.922

4.  Three-dimensional quantitative structure-activity relationship studies on UGT1A9-mediated 3-O-glucuronidation of natural flavonols using a pharmacophore-based comparative molecular field analysis model.

Authors:  Baojian Wu; John Kenneth Morrow; Rashim Singh; Shuxing Zhang; Ming Hu
Journal:  J Pharmacol Exp Ther       Date:  2010-11-10       Impact factor: 4.030

5.  Prediction of cytochrome P450 isoform responsible for metabolizing a drug molecule.

Authors:  Nitish K Mishra; Sandhya Agarwal; Gajendra Ps Raghava
Journal:  BMC Pharmacol       Date:  2010-07-16

6.  Predicting CYP2C19 catalytic parameters for enantioselective oxidations using artificial neural networks and a chirality code.

Authors:  Jessica H Hartman; Steven D Cothren; Sun-Ha Park; Chul-Ho Yun; Jerry A Darsey; Grover P Miller
Journal:  Bioorg Med Chem       Date:  2013-04-22       Impact factor: 3.641

  6 in total

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