Abstract
In order to better understand the binding mode of hydroxamic acid derivatives as urease inhibitors, 3D-QSAR and molecular docking studies were conducted on a set of twenty seven urease inhibitors. The 3D-QSAR models demonstrated good ability to predict the activity of studied compounds after performing a leave-one-out (LOO) cross-validation (q2 = 0.848, 0.755) and (r2 = 0.978, 0.984) for the CoMFA and CoMSIA models, respectively. The predictive ability and robustness of the models were validated by a test set compounds and docking simulation.
Keywords: CoMFA, CoMSIA, Docking, Urease, Leave-one-out, Hydroxamic Acid
Letters in Drug Design & Discovery
Title: Prediction of Binding Affinities for Hydroxamic Acid Derivatives as Urease Inhibitors by Molecular Docking and 3D-QSAR Studies
Volume: 6 Issue: 2
Author(s): Zaheer-ul-Haq and Abdul Wadood
Affiliation:
Keywords: CoMFA, CoMSIA, Docking, Urease, Leave-one-out, Hydroxamic Acid
Abstract: In order to better understand the binding mode of hydroxamic acid derivatives as urease inhibitors, 3D-QSAR and molecular docking studies were conducted on a set of twenty seven urease inhibitors. The 3D-QSAR models demonstrated good ability to predict the activity of studied compounds after performing a leave-one-out (LOO) cross-validation (q2 = 0.848, 0.755) and (r2 = 0.978, 0.984) for the CoMFA and CoMSIA models, respectively. The predictive ability and robustness of the models were validated by a test set compounds and docking simulation.
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Cite this article as:
Zaheer-ul-Haq and Wadood Abdul, Prediction of Binding Affinities for Hydroxamic Acid Derivatives as Urease Inhibitors by Molecular Docking and 3D-QSAR Studies, Letters in Drug Design & Discovery 2009; 6 (2) . https://dx.doi.org/10.2174/157018009787582598
DOI https://dx.doi.org/10.2174/157018009787582598 |
Print ISSN 1570-1808 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-628X |
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