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eMatchSite: Sequence Order-Independent Structure Alignments of Ligand Binding Pockets in Protein Models

机译:eMatchSite:蛋白模型中配体结合口袋的序列顺序无关结构比对

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Detecting similarities between ligand binding sites in the absence of global homology between target proteins has been recognized as one of the critical components of modern drug discovery. Local binding site alignments can be constructed using sequence order-independent techniques, however, to achieve a high accuracy, many current algorithms for binding site comparison require high-quality experimental protein structures, preferably in the bound conformational state. This, in turn, complicates proteome scale applications, where only various quality structure models are available for the majority of gene products. To improve the state-of-the-art, we developed eMatchSite, a new method for constructing sequence order-independent alignments of ligand binding sites in protein models. Large-scale benchmarking calculations using adenine-binding pockets in crystal structures demonstrate that eMatchSite generates accurate alignments for almost three times more protein pairs than SOIPPA. More importantly, eMatchSite offers a high tolerance to structural distortions in ligand binding regions in protein models. For example, the percentage of correctly aligned pairs of adenine-binding sites in weakly homologous protein models is only 4–9% lower than those aligned using crystal structures. This represents a significant improvement over other algorithms, e.g. the performance of eMatchSite in recognizing similar binding sites is 6% and 13% higher than that of SiteEngine using high- and moderate-quality protein models, respectively. Constructing biologically correct alignments using predicted ligand binding sites in protein models opens up the possibility to investigate drug-protein interaction networks for complete proteomes with prospective systems-level applications in polypharmacology and rational drug repositioning. eMatchSite is freely available to the academic community as a web-server and a stand-alone software distribution at http://www.brylinski.org/ematchsite.
机译:在靶蛋白之间不存在全局同源性的情况下检测配体结合位点之间的相似性已被认为是现代药物发现的关键组成部分之一。可以使用与序列顺序无关的技术来构建局部结合位点比对,但是,要实现高精度,目前许多用于结合位点比较的算法都需要高质量的实验蛋白质结构,最好是在结合的构象状态。反过来,这使蛋白质组规模的应用变得复杂,在这种应用中,大多数基因产品只能使用各种质量结构模型。为了改进最新技术,我们开发了eMatchSite,这是一种在蛋白质模型中构建配体结合位点的序列独立于序列的比对的新方法。使用晶体结构中的腺嘌呤结合口袋进行的大规模基准计算表明,eMatchSite产生的精确比对是蛋白质对的几乎三倍于SOIPPA。更重要的是,eMatchSite对蛋白质模型中配体结合区的结构变形具有很高的耐受性。例如,在弱同源蛋白质模型中,正确排列的一对腺嘌呤结合位点的百分比仅比使用晶体结构排列的那些低4-9%。与其他算法相比,这代表了重大改进。 eMatchSite在识别相似结合位点方面的性能分别比使用高质量和中等质量蛋白模型的SiteEngine高出6%和13%。在蛋白质模型中使用预测的配体结合位点构建生物学上正确的比对,为研究具有完整系统蛋白质组学的药物-蛋白质相互作用网络提供了可能性,该网络在多药理学和合理的药物重新定位方面具有前瞻性的系统应用。 eMatchSite可通过http://www.brylinski.org/ematchsite作为网络服务器和独立软件发行版免费提供给学术界。

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