基于逐对（P2P）替换矩阵的相关氨基酸快速评估。

Rapid assessment of correlated amino acids from pair-to-pair (P2P) substitution matrices.

作者信息

Eyal Eran, Pietrokovski Shmuel, Bahar Ivet

机构信息

Department of Computational Biology, School of Medicine, University of Pittsburgh, 3501 Fifth Avenue, Pittsburgh, PA 15213, USA.

出版信息

Bioinformatics. 2007 Jul 15;23(14):1837-9. doi: 10.1093/bioinformatics/btm256. Epub 2007 May 12.

DOI:10.1093/bioinformatics/btm256

PMID:17496318

Abstract

UNLABELLED

Identification of correlated amino acids in proteins has been a topic of broad interest in view of its functional implications and importance in protein design. A new set of pair-to-pair (P2P) substitution matrices for amino acids was recently introduced as a useful tool for inferring information on such correlated sites. We present a website developed for automated application of these matrices for analysis of query sequences. The site offers options for graphical analysis of correlations, as well as visualization of correlated amino acids on representative, structurally characterized, members of the examined family of sequences.

AVAILABILITY

http://www.ccbb.pitt.edu/p2p.

摘要

未标注

鉴于其在蛋白质功能及蛋白质设计中的重要性，鉴定蛋白质中相关氨基酸一直是一个备受广泛关注的话题。最近引入了一组新的氨基酸对到对（P2P）替换矩阵，作为推断此类相关位点信息的有用工具。我们展示了一个为自动应用这些矩阵以分析查询序列而开发的网站。该网站提供了相关关系的图形分析选项，以及在所研究序列家族的代表性、结构特征明确的成员上对相关氨基酸进行可视化的功能。