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首页> 外文期刊>Molecular informatics >Identification of Sequence Variants within Experimentally Validated Protein Interaction Sites Provides New Insights into Molecular Mechanisms of Disease Development
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Identification of Sequence Variants within Experimentally Validated Protein Interaction Sites Provides New Insights into Molecular Mechanisms of Disease Development

机译:在实验验证的蛋白质相互作用位点内的序列变体的鉴定提供了新的疾病发育机制的新见解

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摘要

Protein interactions (PI) underlie complex biological processes. Protein interaction partners include DNA, RNA, ions, small chemical compounds, and proteins (protein-protein interactions; PPI). Analysis of sequence variants within regions corresponding to experimentally validated PI sites presents novel opportunities for understanding of complex diseases. Such information has not been systematically collected due to the fact that datasets are dispersed throughout databases and publications. Sequence variants and PI regions were obtained from the UniProt database. The location of the variants was compared to start and end positions of each PPI. Associations of sequence variants with phenotype were obtained from databases including COSMIC, GAD, PharmGKB, and dbSNP. We developed a catalogue of 603 sequence variants located within regions corresponding to experimentally validated PI sites, mostly PPI regions. These sequence variants were previously associated with risk for cancer, reproduction, ageing, renal, and immune system diseases. The developed catalogue connects information from different research papers and databases, represents a new layer of information and enables designing new hypotheses. It provides a baseline for prioritization of sequence variants, which may affect protein function and binding sites. The study contributes to the development of the proteogenomics field and provides new insights for understanding molecular mechanisms underlying disease development.
机译:蛋白质相互作用(PI)提出复杂的生物方法。蛋白质相互作用伴侣包括DNA,RNA,离子,小化学化合物和蛋白质(蛋白质 - 蛋白质相互作用; PPI)。对应于实验验证的PI站点的区域内的序列变体分析提出了了解复杂疾病的新机遇。由于数据集分散在整个数据库和出版物的情况下,这些信息尚未系统地收集。从UniProt数据库获得序列变体和PI区域。将变体的位置与每个PPI的开始和结束位置进行比较。序列变体与表型的关联是从包括宇宙,GAD,PharmgGKB和DBSNP的数据库获得的。我们开发了一个603个序列变体的目录,位于与实验验证的PI站点相对应的区域内,主要是PPI区域。这些序列变异先前与癌症,繁殖,衰老,肾病和免疫系统疾病的风险相关。开发的目录将来自不同研究论文和数据库的信息连接,代表了新的信息层,并启用设计新假设。它提供了序列变体优先化的基线,这可能影响蛋白质功能和结合位点。该研究有助于发展蛋白质元素领域,为了解疾病发展的分子机制提供新的见解。

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