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Classification of Intrinsically Disordered Regions and Proteins

机译：固有紊乱区域和蛋白质的分类

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Over the past decade, we have observed a massive increase in the amount of information describing protein sequences from a variety of organisms.~(1,2) While this may reflect the diversity in sequence space, and possibly also in function space,~3 a large proportion of the sequences lacks any useful function annotation.~(4,5) Often these sequences are annotated as putative or hypothetical proteins, and for the majority their functions still remain unknown.~(6,7) Suggestions about potential protein function, primarily molecular function, often come from computational analysis of their sequences. For instance, homology detection allows for the transfer of information from well-characterized protein segments to those with similar sequences that lack annotation of molecular function.~(8?10) Other aspects of function, such as the biological processes proteins participate in, may come from genetic- and diseaseassociation studies, expression and interaction network data, and comparative genomics approaches that investigate genomic context.~(11?17) Characterization of unannotated and uncharacterized protein segments is expected to lead to the discovery of novel functions as well as provide important insights into existing biological processes. In addition, it is likely to shed new light on molecular mechanisms of diseases that are not yet fully understood. Thus, uncharacterized protein segments are likely to be a large source of functional novelty relevant for discovering new biology.
机译：在过去的十年中，我们发现描述各种生物的蛋白质序列的信息量大量增加。〜（1,2）虽然这可能反映了序列空间以及功能空间的多样性，但〜3很大一部分序列没有任何有用的功能注释。〜（4,5）通常将这些序列标注为推定或假设的蛋白质，并且大多数功能仍然未知。〜（6,7）关于潜在蛋白质功能的建议，主要是分子功能，通常来自对其序列的计算分析。例如，同源性检测可以将信息从特征明确的蛋白质片段转移到序列相似但缺少分子功能注释的蛋白质。（8→10）功能的其他方面，例如蛋白质参与的生物学过程来自基因和疾病关联研究，表达和相互作用网络数据以及研究基因组背景的比较基因组学方法。〜（11？17）表征未注释和未表征的蛋白质片段有望导致发现新功能并提供对现有生物过程的重要见解。另外，它有可能为尚未完全了解的疾病的分子机制提供新的启示。因此，未表征的蛋白质片段可能是发现新生物学相关功能新颖的重要来源。

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