Literature DB >> 17256838

Perspective assessment of COX-1 and COX-2 selectivity of nonsteroidal anti-inflammatory drugs from clinical practice: use of genetic function approximation.

Ajit P Zambre1, Ashok L Ganure, Devanand B Shinde, Vithal M Kulkarni.   

Abstract

The beneficial action of nonsteroidal anti-inflammatory drugs (NSAIDs) is associated with the inhibition of cyclooxygenase-2 (COX-2), whereas their harmful side effects are associated with the inhibition of COX-1. In order to understand a meaningful comparison of both classical NSAIDs and newer COX-2 drugs, a series of molecules from varied classes of COX-2 inhibitors was studied by the application of three-dimensional quantitative structure-activity relationships (3D-QSAR) using molecular descriptors obtained by genetic function approximation. The features responsible for the dual inhibition of COX-1 and COX-2 and the selective inhibition of COX-2 with factors contributing to the maintenance of optimum selectivity were identified. The QSAR models revealed the importance of thermodynamic, electronic, structural, and molecular shape analysis parameters, which can reasonably modulate the selectivity pattern to avoid unsolicited side effects. An improved understanding to rationalize the COX-1 and COX-2 binding profiles could be gained to develop safe drug design methods.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17256838     DOI: 10.1021/ci6004367

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  3 in total

1.  Diverse methyl sulfone-containing benzo[b]thiophene library via iodocyclization and palladium-catalyzed coupling.

Authors:  Chul-Hee Cho; Benjamin Neuenswander; Richard C Larock
Journal:  J Comb Chem       Date:  2010-03-08

2.  Exploring the influence of steric, electronic and lipophilic descriptors of 1,3-diarly propenones on their anti-inflammatory activity.

Authors:  N M Bhatia; K R Mahadik; M S Bhatia
Journal:  Daru       Date:  2010       Impact factor: 3.117

3.  Combination of pharmacophore hypothesis, genetic function approximation model, and molecular docking to identify novel inhibitors of S6K1.

Authors:  Hui Zhang; Ming-Li Xiang; Jun-Yu Liang; Tao Zeng; Xiao-Nuo Zhang; Ji Zhang; Sheng-Yong Yang
Journal:  Mol Divers       Date:  2013-08-28       Impact factor: 2.943

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.