Marchler-Bauer A, Addess K J, Chappey C, Geer L, Madej T, Matsuo Y, Wang Y, Bryant S H
National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA.
Nucleic Acids Res. 1999 Jan 1;27(1):240-3. doi: 10.1093/nar/27.1.240.
The three dimensional structures for representatives of nearly half of all protein families are now available in public databases. Thus, no matter which protein one investigates, it is increasingly likely that the 3D structure of a homolog will be known and may reveal unsuspected structure-function relationships. The goal of Entrez's 3D-structure database is to make this information accessible and usable by molecular biologists (http://www.ncbi.nlm.nih.gov/Entrez). To this end Entrez provides two major analysis tools, a search engine based on sequence and structure 'neighboring' and an integrated visualization system for sequence and structure alignments. From a protein's sequence 'neighbors' one may rapidly identify other members of a protein family, including those where 3D structure is known. By comparing aligned sequences and/or structures in detail, using the visualization system, one may identify conserved features and perhaps infer functional properties. Here we describe how these analysis tools may be used to investigate the structure and function of newly discovered proteins, using the PTEN gene product as an example.
目前,几乎一半蛋白质家族的代表性三维结构已在公共数据库中可得。因此,无论研究哪种蛋白质,同源物的三维结构被知晓并可能揭示出意想不到的结构-功能关系的可能性越来越大。Entrez三维结构数据库的目标是使分子生物学家能够获取并使用这些信息(http://www.ncbi.nlm.nih.gov/Entrez)。为此,Entrez提供了两个主要分析工具,一个基于序列和结构“邻接”的搜索引擎,以及一个用于序列和结构比对的集成可视化系统。从蛋白质的序列“邻居”中,人们可以快速识别蛋白质家族的其他成员,包括那些三维结构已知的成员。通过使用可视化系统详细比较比对的序列和/或结构,人们可以识别保守特征并可能推断功能特性。在此,我们以PTEN基因产物为例,描述如何使用这些分析工具来研究新发现蛋白质的结构和功能。