Literature DB >> 15916432

Predictive three-dimensional quantitative structure-activity relationship of cytochrome P450 1A2 inhibitors.

Laura E Korhonen1, Minna Rahnasto, Niina J Mähönen, Carsten Wittekindt, Antti Poso, Risto O Juvonen, Hannu Raunio.   

Abstract

The purpose of this study was to determine the cytochrome P450 1A2 (CYP1A2) inhibition potencies of structurally diverse compounds to create a comprehensive three-dimensional quantitative structure-activity relationship (3D-QSAR) model of CYP1A2 inhibitors and to use this model to predict the inhibition potencies of an external set of compounds. Fifty-two compounds including naphthalene, lactone and quinoline derivatives were assayed in a 96-well plate format for CYP1A2 inhibition activity using 7-ethoxyresorufin O-dealkylation as the probe reaction. The IC50 values of the tested compounds varied from 2.3 microM to over 40,000 microM. On the basis of this data set, a comparative molecular field analysis (CoMFA) and GRID/GOLPE models were created that yielded novel structural information about the interaction between inhibitory molecules and the CYP1A2 active site. The created CoMFA model was able to accurately predict inhibitory potencies of several structurally unrelated compounds, including selective inhibitors of other cytochrome P450 forms.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15916432     DOI: 10.1021/jm0489713

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


  12 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.  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

Review 3.  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

4.  Tolfenamic acid is a potent CYP1A2 inhibitor in vitro but does not interact in vivo: correction for protein binding is needed for data interpretation.

Authors:  Marjo J Karjalainen; Pertti J Neuvonen; Janne T Backman
Journal:  Eur J Clin Pharmacol       Date:  2007-07-06       Impact factor: 2.953

Review 5.  Modeling of interactions between xenobiotics and cytochrome P450 (CYP) enzymes.

Authors:  Hannu Raunio; Mira Kuusisto; Risto O Juvonen; Olli T Pentikäinen
Journal:  Front Pharmacol       Date:  2015-06-12       Impact factor: 5.810

6.  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

Review 7.  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 8.  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

9.  3-Pyridyl substituted aliphatic cycles as CYP11B2 inhibitors: aromaticity abolishment of the core significantly increased selectivity over CYP1A2.

Authors:  Lina Yin; Qingzhong Hu; Rolf W Hartmann
Journal:  PLoS One       Date:  2012-11-01       Impact factor: 3.240

10.  Linear Interaction Energy Based Prediction of Cytochrome P450 1A2 Binding Affinities with Reliability Estimation.

Authors:  Luigi Capoferri; Marlies C A Verkade-Vreeker; Danny Buitenhuis; Jan N M Commandeur; Manuel Pastor; Nico P E Vermeulen; Daan P Geerke
Journal:  PLoS One       Date:  2015-11-09       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.