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GalaxyDock BP2评分:一种用于精确蛋白质-配体对接的混合评分函数。

GalaxyDock BP2 score: a hybrid scoring function for accurate protein-ligand docking.

作者信息

Baek Minkyung, Shin Woong-Hee, Chung Hwan Won, Seok Chaok

机构信息

Department of Chemistry, Seoul National University, Seoul, Republic of Korea.

Department of Biological Sciences, Purdue University, West Lafayette, IN, 47907, USA.

出版信息

J Comput Aided Mol Des. 2017 Jul;31(7):653-666. doi: 10.1007/s10822-017-0030-9. Epub 2017 Jun 16.

Abstract

Protein-ligand docking is a useful tool for providing atomic-level understanding of protein functions in nature and design principles for artificial ligands or proteins with desired properties. The ability to identify the true binding pose of a ligand to a target protein among numerous possible candidate poses is an essential requirement for successful protein-ligand docking. Many previously developed docking scoring functions were trained to reproduce experimental binding affinities and were also used for scoring binding poses. However, in this study, we developed a new docking scoring function, called GalaxyDock BP2 Score, by directly training the scoring power of binding poses. This function is a hybrid of physics-based, empirical, and knowledge-based score terms that are balanced to strengthen the advantages of each component. The performance of the new scoring function exhibits significant improvement over existing scoring functions in decoy pose discrimination tests. In addition, when the score is used with the GalaxyDock2 protein-ligand docking program, it outperformed other state-of-the-art docking programs in docking tests on the Astex diverse set, the Cross2009 benchmark set, and the Astex non-native set. GalaxyDock BP2 Score and GalaxyDock2 with this score are freely available at http://galaxy.seoklab.org/softwares/galaxydock.html .

摘要

蛋白质-配体对接是一种有用的工具,可用于从原子水平理解天然蛋白质的功能以及设计具有所需特性的人工配体或蛋白质的原理。在众多可能的候选构象中识别配体与靶蛋白的真实结合构象的能力是成功进行蛋白质-配体对接的基本要求。许多先前开发的对接评分函数经过训练以重现实验结合亲和力,也用于对结合构象进行评分。然而,在本研究中,我们通过直接训练结合构象的评分能力,开发了一种新的对接评分函数,称为GalaxyDock BP2 Score。该函数是基于物理、经验和基于知识的评分项的混合体,通过平衡这些项来强化每个组件的优势。在诱饵构象判别测试中,新评分函数的性能相对于现有评分函数有显著提升。此外,当该评分与GalaxyDock2蛋白质-配体对接程序一起使用时,在对Astex多样集、Cross2009基准集和Astex非天然集的对接测试中,它的表现优于其他最先进的对接程序。GalaxyDock BP2 Score和带有此评分的GalaxyDock2可在http://galaxy.seoklab.org/softwares/galaxydock.html上免费获取。

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