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八种对接工具在对接和虚拟筛选准确性方面的比较评估。

Comparative evaluation of eight docking tools for docking and virtual screening accuracy.

作者信息

Kellenberger Esther, Rodrigo Jordi, Muller Pascal, Rognan Didier

机构信息

Bioinformatics Group, Laboratoire de Pharmacochimie de la Communication Cellulaire, CNRS UMR7081 Illkirch, France.

出版信息

Proteins. 2004 Nov 1;57(2):225-42. doi: 10.1002/prot.20149.

Abstract

Eight docking programs (DOCK, FLEXX, FRED, GLIDE, GOLD, SLIDE, SURFLEX, and QXP) that can be used for either single-ligand docking or database screening have been compared for their propensity to recover the X-ray pose of 100 small-molecular-weight ligands, and for their capacity to discriminate known inhibitors of an enzyme (thymidine kinase) from randomly chosen "drug-like" molecules. Interestingly, both properties are found to be correlated, since the tools showing the best docking accuracy (GLIDE, GOLD, and SURFLEX) are also the most successful in ranking known inhibitors in a virtual screening experiment. Moreover, the current study pinpoints some physicochemical descriptors of either the ligand or its cognate protein-binding site that generally lead to docking/scoring inaccuracies.

摘要

八个可用于单配体对接或数据库筛选的对接程序(DOCK、FLEXX、FRED、GLIDE、GOLD、SLIDE、SURFLEX和QXP)已针对其恢复100个小分子量配体的X射线构象的倾向,以及区分一种酶(胸苷激酶)的已知抑制剂与随机选择的“类药物”分子的能力进行了比较。有趣的是,发现这两种特性是相关的,因为在虚拟筛选实验中显示出最佳对接准确性的工具(GLIDE、GOLD和SURFLEX)在对已知抑制剂进行排名方面也是最成功的。此外,当前研究指出了配体或其同源蛋白结合位点的一些物理化学描述符,这些描述符通常会导致对接/评分不准确。

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