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Conservation of Intrinsic Disorder in Protein Domains and Families: I. A Database of Conserved Predicted Disordered Regions

机译:蛋白质结构域和家族中固有疾病的保护:I.保守的预测疾病区域数据库

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摘要

Many protein regions have been shown to be intrinsically disordered, lacking unique structure under physiological conditions. These intrinsically disordered regions are not only very common in proteomes, they are also crucial to the function of many proteins, especially those involved in signaling, recognition, and regulation. The goal of this work was to identify the prevalence, characteristics, and functions of conserved disordered regions within protein domains and families.A database was created to store the amino acid sequences of nearly one million proteins and their domain matches from the InterPro database, a resource integrating eight different protein family and domain databases. Disorder prediction was performed on these protein sequences. Regions of sequence corresponding to domains were aligned using a multiple sequence alignment tool. From this initial information, regions of conserved predicted disorder were found within the domains. The methodology for this search consisted of finding regions of consecutive positions in the multiple sequence alignments in which a 90% or more of the sequences were predicted to be disordered. This procedure was constrained to find such regions of conserved disorder prediction that were at least 20 amino acids in length.The results of this work were 3,653 regions of conserved disorder prediction, found within 2,898 distinct InterPro entries. Most regions of conserved predicted disorder detected were short, with less than 10% of those found exceeding 30 residues in length.
机译:已显示许多蛋白质区域本质上无序,在生理条件下缺乏独特的结构。这些内在无序的区域不仅在蛋白质组中非常常见,而且对许多蛋白质的功能也至关重要,尤其是涉及信号传导,识别和调节的蛋白质。这项工作的目的是确定蛋白质结构域和家族中保守无序区域的流行,特征和功能。创建了一个数据库来存储将近一百万种蛋白质的氨基酸序列,以及它们来自InterPro数据库的结构域匹配。资源整合了八个不同的蛋白质家族和域数据库。对这些蛋白质序列进行了失调预测。使用多序列比对工具比对对应于结构域的序列区域。从该初始信息中,在域内发现了保守的预测疾病区域。该搜索的方法包括在多个序列比对中找到连续位置的区域,其中预测有90%或更多的序列是无序的。限制该程序以找到至少20个氨基酸长的保守性疾病预测区域。这项工作的结果是在2,898个不同的InterPro条目中发现了3,653个保守性疾病预测区域。检测到的保守预测疾病的大多数区域都很短,发现长度超过30个残基的区域不到10%。

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