fpocketR : A platform for identification and analysis of ligand-binding pockets in RNA.

Seth D Veenbaas, Simon Felder, Kevin M Weeks
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Abstract

Small molecules that bind specific sites in RNAs hold promise for altering RNA function, manipulating gene expression, and expanding the scope of druggable targets beyond proteins. Identifying binding sites in RNA that can engage ligands with good physicochemical properties remains a significant challenge. fpocketR is a software package for identifying, characterizing, and visualizing ligand-binding sites in RNA. fpocketR was optimized, through comprehensive analysis of currently available RNA-ligand complexes, to identify pockets in RNAs able to bind small molecules possessing favorable properties, generally termed drug-like. Here, we demonstrate use of fpocketR to analyze RNA-ligand interactions and novel pockets in small and large RNAs, to assess ensembles of RNA structure models, and to identify pockets in dynamic RNA systems. fpocketR performs best with RNA structures visualized at high (≤3.5 Å) resolution, but also provides useful information with lower resolution structures and computational models. fpocketR is a powerful, freely available tool for discovery and analysis of ligand-binding pockets in RNA molecules.

fpocketR: RNA中配体结合小袋的识别和分析平台。
结合RNA中特定位点的小分子有望改变RNA功能,操纵基因表达,并将可药物靶标的范围扩大到蛋白质之外。在RNA中识别能够与具有良好物理化学性质的配体结合的结合位点仍然是一个重大挑战。fpocketR是一个用于识别、表征和可视化RNA中配体结合位点的软件包。通过对现有rna -配体复合物的综合分析,对fpocketR进行了优化,以识别rna中能够结合具有良好性质的小分子(通常称为类药物)的口袋。在这里,我们展示了使用fpocketR来分析RNA-配体相互作用和小RNA和大RNA中的新口袋,评估RNA结构模型的集合,并识别动态RNA系统中的口袋。fpocketR在高分辨率(≤3.5 Å)下表现最佳,但在低分辨率结构和计算模型下也提供有用的信息。fpocketR是一个功能强大的免费工具,用于发现和分析RNA分子中的配体结合口袋。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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