Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/6113
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSavjani, Jignasa K.-
dc.contributor.authorGajjar, Anuradha K.-
dc.date.accessioned2015-09-04T09:28:44Z-
dc.date.available2015-09-04T09:28:44Z-
dc.date.issued2011-
dc.identifier.urihttp://hdl.handle.net/123456789/6113-
dc.descriptionJournal of Chemical & Pharmaceutical Research, 3(1); 2011en_US
dc.description.abstractA Quantitative Structure Activity Relationship (QSAR) study of 3, 4-Diaryloxazolones has been performed to evaluate the descriptors responsible for the COX-2 inhibitory activity of the molecules. The molecular modeling studies were performed using CS Chem.Office 2005 molecular modeling software ver. 9.0. Allinger’s MM2 force field and semiempirical AM1 (Austin Model 1) Hamiltonian method (MOPAC module) were used to minimize the energy and energy minimized geometry was used to calculate 40 different descriptors. Stepwise multiple linear regressions were performed to obtain the QSAR models. An analysis of the QSAR models was performed to select the best model which suggests that steric and electronic parameters of the molecules are highly correlated with COX-2 inhibitory activity.en_US
dc.publisherJOCPRen_US
dc.relation.ispartofseriesIPFP0176-
dc.subjectQSARen_US
dc.subjectCOX-2 inhibitorsen_US
dc.subjectDiaryloxazolonesen_US
dc.subjectNSAIDsen_US
dc.subjectMultiple linear regression.en_US
dc.titleA QSAR Study of 3, 4-Diaryloxazolones as Cyclooxygenase-2 Inhibitorsen_US
dc.typeFaculty Papersen_US
Appears in Collections:Faculty Papers

Files in This Item:
File Description SizeFormat 
IPFP0176.pdfIPFP0176132.91 kBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.