Literature DB >> 10901712

Three- and four-dimensional-quantitative structure activity relationship (3D/4D-QSAR) analyses of CYP2C9 inhibitors.

S Ekins1, G Bravi, S Binkley, J S Gillespie, B J Ring, J H Wikel, S A Wrighton.   

Abstract

The interaction of competitive type inhibitors with the active site of cytochrome P450 (CYP) 2C9 has been predicted using three- and four-dimensional quantitative structure activity relationship (3D-/4D-QSAR) models constructed using previously unreported and literature-derived data. 3D-QSAR pharmacophore models of the common structural features of CYP2C9 inhibitors were built using the program Catalyst and compared with 3D- and 4D-QSAR partial least-squares models, which use molecular surface-weighted holistic invariant molecular descriptors of the size and shape of inhibitors. The Catalyst models generated from multiple conformers of competitive inhibitors of CYP2C9 activities contained at least one hydrophobic and two hydrogen bond acceptor/donor regions. Catalyst model 1 was constructed with Ki(apparent) values for inhibitors of tolbutamide and diclofenac 4'-hydroxylation (n = 9). Catalyst model 2 was generated from literature Ki(apparent) values for (S)-warfarin 7-hydroxylation (n = 29), and Catalyst model 3 from literature IC50 values for tolbutamide 4-hydroxylation (n = 13). These three models illustrated correlation values of observed and predicted inhibition for CYP2C9 of r = 0.91, 0.89, and 0.71, respectively. Catalyst pharmacophores generated with Ki(apparent) values were validated by predicting the Ki(apparent) value of a test set of CYP2C9 inhibitors also derived from the literature (n = 14). Twelve of fourteen of these Ki(apparent) values were predicted to be within 1 log residual of the observed value using Catalyst model 1, whereas Catalyst model 2 predicted 10 of 14 Ki(apparent) values. The corresponding partial least-squares molecular surface-weighted holistic invariant molecular 3D- and 4D-QSAR models for all CYP2C9 data sets yielded predictable models as assessed using cross-validation. These 3D- and 4D-QSAR models of CYP inhibition will aid in future prediction of drug-drug interactions.

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Year:  2000        PMID: 10901712

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.922


  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

2.  Towards a new age of virtual ADME/TOX and multidimensional drug discovery.

Authors:  Sean Ekins; Bruno Boulanger; Peter W Swaan; Maggie A Z Hupcey
Journal:  J Comput Aided Mol Des       Date:  2002 May-Jun       Impact factor: 3.686

3.  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

Review 4.  Towards a new age of virtual ADME/TOX and multidimensional drug discovery.

Authors:  Sean Ekins; Bruno Boulanger; Peter W Swaan; Maggie A Z Hupcey
Journal:  Mol Divers       Date:  2002       Impact factor: 2.943

Review 5.  Descriptors of Cytochrome Inhibitors and Useful Machine Learning Based Methods for the Design of Safer Drugs.

Authors:  Tyler C Beck; Kyle R Beck; Jordan Morningstar; Menny M Benjamin; Russell A Norris
Journal:  Pharmaceuticals (Basel)       Date:  2021-05-17

Review 6.  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

  6 in total

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