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POPPs:使用肽概率图谱进行聚类和搜索。

The POPPs: clustering and searching using peptide probability profiles.

作者信息

Wise Michael J

机构信息

Department of Genetics, Cambridge, CB2 3EH, England.

出版信息

Bioinformatics. 2002;18 Suppl 1:S38-45. doi: 10.1093/bioinformatics/18.suppl_1.s38.

Abstract

The POPPs is a suite of inter-related software tools which allow the user to discover what is statistically 'unusual' in the composition of an unknown protein, or to automatically cluster proteins into families based on peptide composition. Finally, the user can search for related proteins based on peptide composition. Statistically based peptide composition provides a view of proteins that is, to some extent, orthogonal to that provided by sequence. In a test study, the POPP suite is able to regroup into their families sets of approximately 100 randomised Pfam protein domains. The POPPs suite is used to explore the diverse set of late embryogenesis abundant (LEA) proteins.

摘要

POPPs是一套相互关联的软件工具,它允许用户发现未知蛋白质组成中在统计学上“异常”的情况,或者根据肽组成将蛋白质自动聚类成家族。最后,用户可以根据肽组成搜索相关蛋白质。基于统计学的肽组成提供了一种在某种程度上与序列所提供的视角正交的蛋白质视图。在一项测试研究中,POPP套件能够将大约100个随机化的Pfam蛋白质结构域重新分组到它们各自的家族中。POPPs套件用于探索晚期胚胎发育丰富(LEA)蛋白质的多样集合。

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