Suppr超能文献

FLIPDock:将柔性配体对接至柔性受体中。

FLIPDock: docking flexible ligands into flexible receptors.

作者信息

Zhao Yong, Sanner Michel F

机构信息

Department of Molecular Biology, TPC26, The Scripps Research Institute, La Jolla, CA 92037-1000, USA.

出版信息

Proteins. 2007 Aug 15;68(3):726-37. doi: 10.1002/prot.21423.

Abstract

Conformational changes of biological macromolecules when binding with ligands have long been observed and remain a challenge for automated docking methods. Here we present a novel protein-ligand docking software called FLIPDock (Flexible LIgand-Protein Docking) allowing the automated docking of flexible ligand molecules into active sites of flexible receptor molecules. In FLIPDock, conformational spaces of molecules are encoded using a data structure that we have developed recently called the Flexibility Tree (FT). While the FT can represent fully flexible ligands, it was initially designed as a hierarchical and multiresolution data structure for the selective encoding of conformational subspaces of large biological macromolecules. These conformational subspaces can be built to span a range of conformations important for the biological activity of a protein. A variety of motions can be combined, ranging from domains moving as rigid bodies or backbone atoms undergoing normal mode-based deformations, to side chains assuming rotameric conformations. In addition, these conformational subspaces are parameterized by a small number of variables which can be searched during the docking process, thus effectively modeling the conformational changes in a flexible receptor. FLIPDock searches the variables using genetic algorithm-based search techniques and evaluates putative docking complexes with a scoring function based on the AutoDock3.05 force-field. In this paper, we describe the concepts behind FLIPDock and the overall architecture of the program. We demonstrate FLIPDock's ability to solve docking problems in which the assumption of a rigid receptor previously prevented the successful docking of known ligands. In particular, we repeat an earlier cross docking experiment and demonstrate an increased success rate of 93.5%, compared to original 72% success rate achieved by AutoDock over the 400 cross-docking calculations. We also demonstrate FLIPDock's ability to handle conformational changes involving backbone motion by docking balanol to an adenosine-binding pocket of protein kinase A.

摘要

生物大分子与配体结合时的构象变化早已被观察到,并且仍然是自动对接方法面临的一个挑战。在此,我们展示了一种名为FLIPDock(灵活配体-蛋白质对接)的新型蛋白质-配体对接软件,它允许将柔性配体分子自动对接至柔性受体分子的活性位点。在FLIPDock中,分子的构象空间使用我们最近开发的数据结构——柔性树(FT)进行编码。虽然FT可以表示完全柔性的配体,但它最初被设计为一种分层多分辨率数据结构,用于选择性编码大型生物大分子的构象子空间。这些构象子空间可以构建为涵盖对蛋白质生物活性重要的一系列构象。可以组合各种运动,从作为刚体移动的结构域或经历基于正常模式变形的主链原子,到呈现旋转异构体构象的侧链。此外,这些构象子空间由少量变量参数化,这些变量可以在对接过程中进行搜索,从而有效地模拟柔性受体中的构象变化。FLIPDock使用基于遗传算法的搜索技术搜索变量,并使用基于AutoDock3.05力场的评分函数评估假定的对接复合物。在本文中,我们描述了FLIPDock背后的概念以及程序的整体架构。我们展示了FLIPDock解决对接问题的能力,在这些问题中,以前刚性受体的假设阻止了已知配体的成功对接。特别是,我们重复了早期的交叉对接实验,并证明成功率提高到了93.5%,相比AutoDock在400次交叉对接计算中最初实现的72%的成功率有所提高。我们还通过将巴拉诺尔对接至蛋白激酶A的腺苷结合口袋,展示了FLIPDock处理涉及主链运动的构象变化的能力。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验