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Medicinal Chemistry

Editor-in-Chief

ISSN (Print): 1573-4064
ISSN (Online): 1875-6638

CoMFA and CoMSIA 3D QSAR Models for a Series of Cyclic Imides with Analgesic Activity

Author(s): D. M. Borchhardt and A. D. Andricopulo

Volume 5, Issue 1, 2009

Page: [66 - 73] Pages: 8

DOI: 10.2174/157340609787049299

Price: $65

Abstract

Three-dimensional quantitative structure-activity relationships (3D-QSAR) were performed for a series of analgesic cyclic imides using the CoMFA and CoMSIA methods. Significant correlation coefficients (CoMFA, r2 = 0.95 and q2 = 0.72; CoMSIA, r2 = 0.96 and q2 = 0.76) were obtained, and the generated models were externally validated using test sets. The final QSAR models as well as the information gathered from 3D contour maps should be useful for the design of novel cyclic imides having improved analgesic activity.

Keywords: QSAR, imides, medicinal chemistry, drug design


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