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SPOT-Ligand:基于配体和受体相似性的结合同源搜索的快速有效的基于结构的虚拟筛选。

SPOT-Ligand: Fast and effective structure-based virtual screening by binding homology search according to ligand and receptor similarity.

机构信息

Institute for Glycomics and School of Information and Communication Technology, Griffith University, Parklands Dr, Southport, QLD, 4222, Australia.

出版信息

J Comput Chem. 2016 Jul 5;37(18):1734-9. doi: 10.1002/jcc.24380. Epub 2016 Apr 13.

Abstract

Structure-based virtual screening usually involves docking of a library of chemical compounds onto the functional pocket of the target receptor so as to discover novel classes of ligands. However, the overall success rate remains low and screening a large library is computationally intensive. An alternative to this "ab initio" approach is virtual screening by binding homology search. In this approach, potential ligands are predicted based on similar interaction pairs (similarity in receptors and ligands). SPOT-Ligand is an approach that integrates ligand similarity by Tanimoto coefficient and receptor similarity by protein structure alignment program SPalign. The method was found to yield a consistent performance in DUD and DUD-E docking benchmarks even if model structures were employed. It improves over docking methods (DOCK6 and AUTODOCK Vina) and has a performance comparable to or better than other binding-homology methods (FINDsite and PoLi) with higher computational efficiency. The server is available at http://sparks-lab.org. © 2016 Wiley Periodicals, Inc.

摘要

基于结构的虚拟筛选通常涉及将化合物库对接至靶受体的功能口袋,以发现新型配体。然而,整体成功率仍然较低,且筛选大型库在计算上是密集的。这种“从头开始”方法的替代方法是基于结合同源性搜索的虚拟筛选。在这种方法中,根据相似的相互作用对(受体和配体之间的相似性)来预测潜在的配体。SPOT-Ligand 是一种通过 Tanimoto 系数整合配体相似性,通过蛋白质结构比对程序 SPalign 整合受体相似性的方法。该方法在 DUD 和 DUD-E 对接基准测试中表现一致,即使使用模型结构也是如此。它优于对接方法(DOCK6 和 AUTODOCK Vina),并且与其他结合同源性方法(FINDsite 和 PoLi)的性能相当或更好,计算效率更高。该服务器可在 http://sparks-lab.org 上获得。©2016 Wiley Periodicals, Inc.

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