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基于富集分析的统计评估:多种晶体学衍生蛋白结构的整体对接

Ensemble docking into multiple crystallographically derived protein structures: an evaluation based on the statistical analysis of enrichments.

机构信息

Novartis Institutes for Biomedical Research, Wimblehurst Road, Horsham, West Sussex RH12 5AB, UK.

出版信息

J Chem Inf Model. 2010 Apr 26;50(4):511-24. doi: 10.1021/ci900407c.

Abstract

Docking into multiple receptor conformations ("ensemble docking") has been proposed, and employed, in the hope that it may account for receptor flexibility in virtual screening and thus provide higher enrichments than docking into single rigid receptor structures. The statistical analyses presented in this paper provide quantitative evidence that in some cases docking into a crystallographically derived conformational ensemble does indeed yield better enrichment than docking into any of the individual members of the ensemble. However, these "successful" ensembles account for only a minority of those examined and it would not have been possible to prospectively predict their identity using only protein structural information. A more frequently observed outcome is that the ensemble enrichment is higher than the mean of the enrichments provided by its individual members. An additional and promising finding is that, if a set of known active compounds is available, an approach based on induced-fit docking appears to be a reliable way to construct ensembles which provide relatively high enrichments.

摘要

对接多种受体构象(“集合对接”)已被提出并应用于虚拟筛选中,希望它可以解释受体的灵活性,从而提供比对接单个刚性受体结构更高的富集度。本文提出的统计分析提供了定量证据,表明在某些情况下,对接晶体衍生的构象集合确实比对接集合中的任何单个成员都能产生更好的富集度。然而,这些“成功”的集合仅占所检查的集合的少数,仅使用蛋白质结构信息不可能有前瞻性地预测它们的身份。更常见的结果是,集合的富集度高于其各个成员提供的富集度的平均值。另一个有希望的发现是,如果有一组已知的活性化合物可用,那么基于诱导契合对接的方法似乎是构建提供相对较高富集度的集合的可靠方法。

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