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pvSOAR:检测蛋白质上氨基酸残基的口袋和空洞表面的相似表面模式。

pvSOAR: detecting similar surface patterns of pocket and void surfaces of amino acid residues on proteins.

作者信息

Binkowski T Andrew, Freeman Patrick, Liang Jie

机构信息

Department of Bioengineering, The University of Illinois at Chicago, Chicago, IL 60607-7052, USA.

出版信息

Nucleic Acids Res. 2004 Jul 1;32(Web Server issue):W555-8. doi: 10.1093/nar/gkh390.

Abstract

Detecting similar protein surfaces provides an important route for discovering unrecognized or novel functional relationship between proteins. The web server pvSOAR (pocket and void Surfaces Of Amino acid Residues) provides an online resource to identify similar protein surface regions. pvSOAR can take a structure either uploaded by a user or obtained from the Protein Data Bank, and identifies similar surface patterns based on geometrically defined pockets and voids. It provides several search modes to compare protein surfaces by similarity in local sequence, local shape and local orientation. Statistically significant search results are reported for visualization and interactive exploration. pvSOAR can be used to predict biological functions of proteins with known three-dimensional structures but unknown biological roles. It can also be used to study functional relationship between proteins and for exploration of the evolutionary origins of structural elements important for protein function. We present an example using pvSOAR to explore the biological roles of a protein whose structure was solved by the structural genomics project. The pvSOAR web server is available at http://pvsoar.bioengr.uic.edu/.

摘要

检测相似的蛋白质表面为发现蛋白质之间未被认识的或新的功能关系提供了一条重要途径。网络服务器pvSOAR(氨基酸残基的口袋和空隙表面)提供了一个在线资源来识别相似的蛋白质表面区域。pvSOAR可以接受用户上传的结构或从蛋白质数据库中获取的结构,并基于几何定义的口袋和空隙识别相似的表面模式。它提供了几种搜索模式,通过局部序列、局部形状和局部方向的相似性来比较蛋白质表面。报告具有统计学意义的搜索结果用于可视化和交互式探索。pvSOAR可用于预测具有已知三维结构但未知生物学作用的蛋白质的生物学功能。它还可用于研究蛋白质之间的功能关系以及探索对蛋白质功能重要的结构元件的进化起源。我们展示了一个使用pvSOAR探索由结构基因组学项目解析其结构的蛋白质的生物学作用的例子。pvSOAR网络服务器可在http://pvsoar.bioengr.uic.edu/获取。

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