Title of article :
Developing a CoMSIA Model for Inhibition of COX-2 by Resveratrol Derivatives
Author/Authors :
Shamsara, Jamal Pharmaceutical Research Center - School of Pharmacy, Mashhad University of Medical Sciences, Mashhad , Shahir-Sadrb, Ahmad Bioinformatics Research Center - Sabzevar University of Medical Sciences - School of Medicine, Sabzevar
Abstract :
Design of selective cyclooxygenase-2 (COX-2) inhibitors is still a challenging task because
of active site similarities between COX isoenzymes. To help with this issue, we tried to
generate a 3D-QSAR (3 dimensional quantitative structure activity relationships) model that
might reflect the essential features of COX-2 active sites. Compounds in a series of resveratrol
derivatives inhibitors with reported biological activity against COX-2 were used to construct a
predictive comparative molecular similarity indices (CoMSIA) model. A CoMSIA model with
acceptable internal and external predictability was developed and employed to design new
not yet synthesized molecules with improved activity and selectivity toward COX-2. Finally,
molecular docking of the inhibitors in COX-2 active site demonstrated the possible ability of
proposed compounds to inhibit COX-2, selectively
Keywords :
3D-QSAR , COX-2 , COMSIA , Inhibitors , Resveratrol , Selectivity
Journal title :
Astroparticle Physics