Literature DB >> 15658857

Quantitative structure-activity relationship analysis of inhibitors of the nicotine metabolizing CYP2A6 enzyme.

Minna Rahnasto1, Hannu Raunio, Antti Poso, Carsten Wittekindt, Risto O Juvonen.   

Abstract

The purpose of this study was to develop screening and in silico modeling methods to obtain accurate information on the active center of CYP2A6, a nicotine oxidizing enzyme. The inhibitory potencies of 26 naphthalene and 16 non-naphthalene derivatives were determined for human CYP2A6 and mouse CYP2A5 enzymes. Several comparative molecular field analysis (CoMFA) models were developed to find out what types of steric and electrostatic properties are required for potent inhibitors. The IC(50) values of the tested compounds varied from 0.55 to 35 400 microM for CYP2A6 and from 1 to 1500 microM for CYP2A5. The generated CoMFA models were able to accurately predict the inhibition potencies of an external test set of chemicals. Potent and specific inhibitors of the CYP2A6 enzyme can be used in the future to increase nicotine bioavailability and thus make oral nicotine administration feasible in smoking cessation therapy.

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Year:  2005        PMID: 15658857     DOI: 10.1021/jm049536b

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


  7 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

2.  Similarity-based modeling in large-scale prediction of drug-drug interactions.

Authors:  Santiago Vilar; Eugenio Uriarte; Lourdes Santana; Tal Lorberbaum; George Hripcsak; Carol Friedman; Nicholas P Tatonetti
Journal:  Nat Protoc       Date:  2014-08-14       Impact factor: 13.491

3.  New potent and selective cytochrome P450 2B6 (CYP2B6) inhibitors based on three-dimensional quantitative structure-activity relationship (3D-QSAR) analysis.

Authors:  L E Korhonen; M Turpeinen; M Rahnasto; C Wittekindt; A Poso; O Pelkonen; H Raunio; R O Juvonen
Journal:  Br J Pharmacol       Date:  2007-02-26       Impact factor: 8.739

4.  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

5.  Improving Detection of Arrhythmia Drug-Drug Interactions in Pharmacovigilance Data through the Implementation of Similarity-Based Modeling.

Authors:  Santiago Vilar; Tal Lorberbaum; George Hripcsak; Nicholas P Tatonetti
Journal:  PLoS One       Date:  2015-06-12       Impact factor: 3.240

6.  Quantitative structure-activity relationship to elucidate human CYP2A6 inhibition by organosulfur compounds.

Authors:  Daniela A Ramirez; Eduardo J Marchevsky; Juan M Luco; Alejandra B Camargo
Journal:  ADMET DMPK       Date:  2019-08-05

Review 7.  Insights on cytochrome p450 enzymes and inhibitors obtained through QSAR studies.

Authors:  Jayalakshmi Sridhar; Jiawang Liu; Maryam Foroozesh; Cheryl L Klein Stevens
Journal:  Molecules       Date:  2012-08-03       Impact factor: 4.411

  7 in total

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