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基于结构的小分子调节蛋白质-蛋白质相互作用的计算方法。

Structure-based computational approaches for small-molecule modulation of protein-protein interactions.

作者信息

Xu David, Wang Bo, Meroueh Samy O

机构信息

Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, 410 W. 10th Street, Indianapolis, IN, 46202, USA.

出版信息

Methods Mol Biol. 2015;1278:77-92. doi: 10.1007/978-1-4939-2425-7_5.

Abstract

Three-dimensional structures of proteins offer an opportunity for the rational design of small molecules to modulate protein-protein interactions. The presence of a well-defined binding pocket on the surface of protein complexes, particularly at their interface, can be used for docking-based virtual screening of chemical libraries. Several approaches have been developed to identify binding pockets that are implemented in programs such as SiteMap, fpocket, and FTSite. These programs enable the scoring of these pockets to determine whether they are suitable to accommodate high-affinity small molecules. Virtual screening of commercial or combinatorial libraries can be carried out to enrich these libraries and select compounds for further experimental validation. In virtual screening, a compound library is docked to the target protein. The resulting structures are scored and ranked for the selection and experimental validation of top candidates. Molecular docking has been implemented in a number of computer programs such as AutoDock Vina. We select a set of protein-protein interactions that have been successfully inhibited with small molecules in the past. Several computer programs are applied to identify pockets on the surface, and molecular docking is conducted in an attempt to reproduce the binding pose of the inhibitors. The results highlight the strengths and limitations of computational methods for the design of PPI inhibitors.

摘要

蛋白质的三维结构为合理设计小分子以调节蛋白质-蛋白质相互作用提供了契机。蛋白质复合物表面,尤其是其界面处存在明确的结合口袋,可用于基于对接的化学文库虚拟筛选。已开发出多种方法来识别结合口袋,这些方法已应用于SiteMap、fpocket和FTSite等程序中。这些程序能够对这些口袋进行评分,以确定它们是否适合容纳高亲和力小分子。可对商业或组合文库进行虚拟筛选,以富集这些文库并选择化合物进行进一步实验验证。在虚拟筛选中,将化合物文库与目标蛋白对接。对所得结构进行评分和排序,以选择顶级候选物并进行实验验证。分子对接已在AutoDock Vina等众多计算机程序中实现。我们选择一组过去已被小分子成功抑制的蛋白质-蛋白质相互作用。应用多个计算机程序来识别表面口袋,并进行分子对接以尝试重现抑制剂的结合姿态。结果突出了用于设计PPI抑制剂的计算方法的优势和局限性。

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