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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 Some Condensed Thieno[2,3-d]pyrimidin-4(3H)-ones with Antihistaminic (H1) Activity

Author(s): Meenakshi Singh, Sushil K. Singh, Mahesh T. Chhabria, Kamala Vasu and Dhaivat Pandya

Volume 9, Issue 3, 2013

Page: [389 - 401] Pages: 13

DOI: 10.2174/1573406411309030010

Price: $65

Abstract

Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) studies were carried out for a series of thienopyrimidines, novel Histamine H1 receptor antagonists. Various models were generated. The best predictive CoMFA model gave significant correlation coefficients (cross-validated r2 (q2) = 0.514, non-cross-validated r2 = 0.925), showing the influence of steric and electrostatic fields. Likewise, the best predictive CoMSIA model gave cross-validated r2 (q2) = 0.541, non-cross-validated r2 = 0.862, eliciting the influence of steric, electrostatic, hydrophobic and hydrogen bond acceptor fields. The generated models were externally validated and well correlated with calculated (predicted) and experimental inhibitory concentration (IC50) values, using test sets. The analysis of the contour maps of both CoMFA and CoMSIA models offer important structural insight for designing novel and more active Histamine H1 receptor antagonists prior to their synthesis.

Keywords: CoMFA, CoMSIA, Thienopyrimidine derivatives, 3D QSAR, Histamine, gastric acid, rhinitis, urticaria, fever, asthma


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