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
Medicinal Chemistry
Title:CoMFA and CoMSIA 3D QSAR Models for a Series of Some Condensed Thieno[2,3-d]pyrimidin-4(3H)-ones with Antihistaminic (H1) Activity
Volume: 9 Issue: 3
Author(s): Meenakshi Singh, Sushil K. Singh, Mahesh T. Chhabria, Kamala Vasu and Dhaivat Pandya
Affiliation:
Keywords: CoMFA, CoMSIA, Thienopyrimidine derivatives, 3D QSAR, Histamine, gastric acid, rhinitis, urticaria, fever, asthma
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.
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Cite this article as:
Singh Meenakshi, K. Singh Sushil, T. Chhabria Mahesh, Vasu Kamala and Pandya Dhaivat, CoMFA and CoMSIA 3D QSAR Models for a Series of Some Condensed Thieno[2,3-d]pyrimidin-4(3H)-ones with Antihistaminic (H1) Activity, Medicinal Chemistry 2013; 9 (3) . https://dx.doi.org/10.2174/1573406411309030010
DOI https://dx.doi.org/10.2174/1573406411309030010 |
Print ISSN 1573-4064 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-6638 |
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