Development of Quantitative Structure-Activity Relationships and Its Application in Rational Drug Design
Authors: Yang, Guang-Fu1; Huang, Xiaoqin1
Source: Current Pharmaceutical Design, Volume 12, Number 35, December 2006 , pp. 4601-4611(11)
Publisher: Bentham Science Publishers
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Abstract:
Over forty years have elapsed since Hansch and Fujita published their pioneering work of quantitative structure- activity relationships (QSAR). Following the introduction of Comparative Molecular Field Analysis (CoMFA) by Cramer in 1998, other three-dimensional QSAR methods have been developed. Currently, combination of classical QSAR and other computational techniques at three-dimensional level is of greatest interest and generally used in the process of modern drug discovery and design. During the last several decades, a number of different mythologies incorporating a range of molecular descriptors and different statistical regression ways have been proposed and successfully applied in developing of new drugs, thus QSAR method has been proven to be indispensable in not only the reliable prediction of specific properties of new compounds, but also the help to elucidate the possible molecular mechanism of the receptorligand interactions. Here, we review the recent developments in QSAR and their applications in rational drug design, focusing on the reasonable selection of novel molecular descriptors and the construction of predictive QSAR models by the help of advanced computational techniques.Keywords: 2D-QSAR; 3D-QSAR; molecular descriptors; rational drug design; binding model
Document Type: Research article
DOI: 10.2174/138161206779010431
Affiliations: 1: Key Laboratory of Pesticide & Chemical Biology of Ministry of Education, College of Chemistry, Central China Normal University, Wuhan, 430079, P. R. China.
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