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Efficient Identification of Critical Residues Based Only on Protein Structure by Network Analysis

机译:仅通过蛋白质结构通过网络分析有效鉴定关键残基

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摘要

Despite the increasing number of published protein structures, and the fact that each protein's function relies on its three-dimensional structure, there is limited access to automatic programs used for the identification of critical residues from the protein structure, compared with those based on protein sequence. Here we present a new algorithm based on network analysis applied exclusively on protein structures to identify critical residues. Our results show that this method identifies critical residues for protein function with high reliability and improves automatic sequence-based approaches and previous network-based approaches. The reliability of the method depends on the conformational diversity screened for the protein of interest. We have designed a web site to give access to this software at . In summary, a new method is presented that relates critical residues for protein function with the most traversed residues in networks derived from protein structures. A unique feature of the method is the inclusion of the conformational diversity of proteins in the prediction, thus reproducing a basic feature of the structure/function relationship of proteins.
机译:尽管已发表的蛋白质结构数目不断增加,并且每种蛋白质的功能都依赖于其三维结构,但与基于蛋白质序列的那些相比,用于从蛋白质结构中识别关键残基的自动程序的访问却有限。在这里,我们提出一种基于网络分析的新算法,该算法专门应用于蛋白质结构以识别关键残基。我们的结果表明,该方法可高度可靠地识别蛋白质功能的关键残基,并改进了基于自动序列的方法和以前基于网络的方法。该方法的可靠性取决于针对目的蛋白筛选的构象多样性。我们设计了一个网站,可以通过访问该软件。总之,提出了一种新方法,该方法将蛋白质功能的关键残基与衍生自蛋白质结构的网络中遍历最多的残基相关联。该方法的独特之处在于在预测中包括蛋白质的构象多样性,从而再现了蛋白质的结构/功能关系的基本特征。

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