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CLAP: A web-server for automatic classification of proteins with special reference to multi-domain proteins

机译:CLAP:一种网络服务器用于对蛋白质进行自动分类并特别参考多域蛋白质

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摘要

BackgroundThe function of a protein can be deciphered with higher accuracy from its structure than from its amino acid sequence. Due to the huge gap in the available protein sequence and structural space, tools that can generate functionally homogeneous clusters using only the sequence information, hold great importance. For this, traditional alignment-based tools work well in most cases and clustering is performed on the basis of sequence similarity. But, in the case of multi-domain proteins, the alignment quality might be poor due to varied lengths of the proteins, domain shuffling or circular permutations. Multi-domain proteins are ubiquitous in nature, hence alignment-free tools, which overcome the shortcomings of alignment-based protein comparison methods, are required. Further, existing tools classify proteins using only domain-level information and hence miss out on the information encoded in the tethered regions or accessory domains. Our method, on the other hand, takes into account the full-length sequence of a protein, consolidating the complete sequence information to understand a given protein better.
机译:背景技术从蛋白质的结构比从其氨基酸序列可以更准确地解读蛋白质的功能。由于可用蛋白质序列和结构空间上的巨大缺口,仅使用序列信息就可以生成功能上均一的簇的工具非常重要。为此,传统的基于比对的工具在大多数情况下效果很好,并且基于序列相似性进行聚类。但是,在多结构域蛋白的情况下,由于蛋白质的长度变化,结构域改组或圆形排列,排列质量可能很差。多域蛋白本质上无处不在,因此需要克服基于比对的蛋白质比较方法的缺点的无比对工具。此外,现有的工具仅使用域级别的信息对蛋白质进行分类,因此会错过在拴系区域或辅助域中编码的信息。另一方面,我们的方法考虑了蛋白质的全长序列,整合了完整的序列信息以更好地了解给定的蛋白质。

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