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Implication of the cause of differences in 3D structures of proteins with high sequence identity based on analyses of amino acid sequences and 3D structures

机译:基于氨基酸序列和3D结构分析的高序列同一性蛋白质3D结构差异的原因

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Background Proteins that share a high sequence homology while exhibiting drastically different 3D structures are investigated in this study. Recently, artificial proteins related to the sequences of the GA and IgG binding GB domains of human serum albumin have been designed. These artificial proteins, referred to as GA and GB, share 98% amino acid sequence identity but exhibit different 3D structures, namely, a 3α bundle versus a 4β + α structure. Discriminating between their 3D structures based on their amino acid sequences is a very difficult problem. In the present work, in addition to using bioinformatics techniques, an analysis based on inter-residue average distance statistics is used to address this problem. Results It was hard to distinguish which structure a given sequence would take only with the results of ordinary analyses like BLAST and conservation analyses. However, in addition to these analyses, with the analysis based on the inter-residue average distance statistics and our sequence tendency analysis, we could infer which part would play an important role in its structural formation. Conclusions The results suggest possible determinants of the different 3D structures for sequences with high sequence identity. The possibility of discriminating between the 3D structures based on the given sequences is also discussed.
机译:在这项研究中,研究了具有高序列同源性同时展现出截然不同的3D结构的背景蛋白。最近,已经设计了与人血清白蛋白的GA和IgG结合GB结构域的序列有关的人工蛋白质。这些被称为GA和GB的人工蛋白质具有98%的氨基酸序列同一性,但表现出不同的3D结构,即3α束与4β+α结构。基于它们的氨基酸序列区分它们的3D结构是一个非常困难的问题。在当前的工作中,除了使用生物信息学技术之外,还基于残基间平均距离统计数据进行分析以解决此问题。结果仅通过常规分析(如BLAST和保守性分析)的结果很难区分给定序列将采用哪种结构。然而,除了这些分析之外,通过基于残基间平均距离统计的分析和我们的序列趋势分析,我们可以推断出哪一部分将在其结构形成中起重要作用。结论结果表明,具有较高序列同一性的序列可能是不同3D结构的决定因素。还讨论了基于给定序列区分3D结构的可能性。

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