Abstract
Receptor-based 3D-QSAR strategy represents a superior integration of structure-based drug design (SBDD) and three-dimensional quantitative structure-activity relationship (3D-QSAR) analysis. It combines the accurate prediction of ligand poses by the SBDD approach with the good predictability and interpretability of statistical models derived from the 3D-QSAR approach. Extensive efforts have been devoted to the development of receptor-based 3D-QSAR methods and two alternative approaches have been exploited. One associates with computing the binding interactions between a receptor and a ligand to generate structure-based descriptors for QSAR analyses. The other concerns the application of various docking protocols to generate optimal ligand poses so as to provide reliable molecular alignments for the conventional 3D-QSAR operations. This review highlights new concepts and methodologies recently developed in the field of receptorbased 3D-QSAR, and in particular, covers its application in kinase studies.
Keywords: Receptor-based 3D-QSAR, Molecular descriptors, Molecular alignments, Kinase inhibitors.
Current Topics in Medicinal Chemistry
Title:Receptor-based 3D-QSAR in Drug Design: Methods and Applications in Kinase Studies
Volume: 16 Issue: 13
Author(s): Cheng Fang and Zhiyan Xiao
Affiliation:
Keywords: Receptor-based 3D-QSAR, Molecular descriptors, Molecular alignments, Kinase inhibitors.
Abstract: Receptor-based 3D-QSAR strategy represents a superior integration of structure-based drug design (SBDD) and three-dimensional quantitative structure-activity relationship (3D-QSAR) analysis. It combines the accurate prediction of ligand poses by the SBDD approach with the good predictability and interpretability of statistical models derived from the 3D-QSAR approach. Extensive efforts have been devoted to the development of receptor-based 3D-QSAR methods and two alternative approaches have been exploited. One associates with computing the binding interactions between a receptor and a ligand to generate structure-based descriptors for QSAR analyses. The other concerns the application of various docking protocols to generate optimal ligand poses so as to provide reliable molecular alignments for the conventional 3D-QSAR operations. This review highlights new concepts and methodologies recently developed in the field of receptorbased 3D-QSAR, and in particular, covers its application in kinase studies.
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Cite this article as:
Fang Cheng and Xiao Zhiyan, Receptor-based 3D-QSAR in Drug Design: Methods and Applications in Kinase Studies, Current Topics in Medicinal Chemistry 2016; 16 (13) . https://dx.doi.org/10.2174/1568026615666150915120943
DOI https://dx.doi.org/10.2174/1568026615666150915120943 |
Print ISSN 1568-0266 |
Publisher Name Bentham Science Publisher |
Online ISSN 1873-4294 |
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