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一种通过双丙氨酸扫描和优化(SCARE)将配体对接至柔性受体的新方法。

A new method for ligand docking to flexible receptors by dual alanine scanning and refinement (SCARE).

作者信息

Bottegoni Giovanni, Kufareva Irina, Totrov Maxim, Abagyan Ruben

机构信息

Department of Molecular Biology, TPC28, The Scripps Research Institute, 10550 N Torrey Pines Rd., La Jolla, CA 92037, USA.

出版信息

J Comput Aided Mol Des. 2008 May;22(5):311-25. doi: 10.1007/s10822-008-9188-5. Epub 2008 Feb 14.

Abstract

Protein binding sites undergo ligand specific conformational changes upon ligand binding. However, most docking protocols rely on a fixed conformation of the receptor, or on the prior knowledge of multiple conformations representing the variation of the pocket, or on a known bounding box for the ligand. Here we described a general induced fit docking protocol that requires only one initial pocket conformation and identifies most of the correct ligand positions as the lowest score. We expanded a previously used diverse "cross-docking" benchmark to thirty ligand-protein pairs extracted from different crystal structures. The algorithm systematically scans pairs of neighbouring side chains, replaces them by alanines, and docks the ligand to each 'gapped' version of the pocket. All docked positions are scored, refined with original side chains and flexible backbone and re-scored. In the optimal version of the protocol pairs of residues were replaced by alanines and only one best scoring conformation was selected from each 'gapped' pocket for refinement. The optimal SCARE (SCan Alanines and REfine) protocol identifies a near native conformation (under 2 angstroms RMSD) as the lowest rank for 80% of pairs if the docking bounding box is defined by the predicted pocket envelope, and for as many as 90% of the pairs if the bounding box is derived from the known answer with approximately 5 angstroms margin as used in most previous publications. The presented fully automated algorithm takes about 2 h per pose of a single processor time, requires only one pocket structure and no prior knowledge about the binding site location. Furthermore, the results for conformationally conserved pockets do not deteriorate due to substantial increase of the pocket variability.

摘要

蛋白质结合位点在配体结合时会发生配体特异性的构象变化。然而,大多数对接协议依赖于受体的固定构象,或依赖于代表口袋变化的多个构象的先验知识,或依赖于配体的已知边界框。在这里,我们描述了一种通用的诱导契合对接协议,该协议仅需要一个初始口袋构象,并将大多数正确的配体位置识别为得分最低的位置。我们将先前使用的多样的“交叉对接”基准扩展到从不同晶体结构中提取的30对配体 - 蛋白质对。该算法系统地扫描相邻侧链对,用丙氨酸替换它们,并将配体对接至口袋的每个“有间隙”版本。对所有对接位置进行评分,用原始侧链和柔性主链进行优化并重新评分。在该协议的最佳版本中,残基对被丙氨酸替换,并且从每个“有间隙”口袋中仅选择一个得分最佳的构象进行优化。如果对接边界框由预测的口袋包络定义,最佳的SCARE(扫描丙氨酸并优化)协议能将近天然构象(均方根偏差小于2埃)识别为80%的配体 - 蛋白质对中排名最低的构象;如果边界框如大多数先前出版物那样从已知答案导出且有大约5埃的余量,则对于多达90%的配体 - 蛋白质对能识别出近天然构象。所提出的全自动算法每个构象在单处理器上大约需要2小时,仅需要一个口袋结构且无需关于结合位点位置的先验知识。此外,对于构象保守的口袋,由于口袋变异性的大幅增加,结果不会恶化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/132f/2641994/b59853fc60e7/nihms84397f1.jpg

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