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生物单元及其对蛋白质-蛋白质相互作用性质和预测的影响。

Biological units and their effect upon the properties and prediction of protein-protein interactions.

作者信息

Jefferson Emily R, Walsh Thomas P, Barton Geoffrey J

机构信息

University of Dundee, School of Life Sciences, Dow Street, Dundee, DD1 5EH Scotland, UK.

出版信息

J Mol Biol. 2006 Dec 15;364(5):1118-29. doi: 10.1016/j.jmb.2006.09.042. Epub 2006 Sep 22.

Abstract

Structural data as collated in the Protein Data Bank (PDB) have been widely applied in the study and prediction of protein-protein interactions. However, since the basic PDB Entries contain only the contents of the asymmetric unit rather than the biological unit, some key interactions may be missed by analysing only the PDB Entry. A total of 69,054 SCOP (Structural Classification of Proteins) domains were examined systematically to identify the number of additional novel interacting domain pairs and interfaces found by considering the biological unit as stored in the PQS (Protein Quaternary Structure) database. The PQS data adds 25,965 interacting domain pairs to those seen in the PDB Entries to give a total of 61,783 redundant interacting domain pairs. Redundancy filtering at the level of the SCOP family shows PQS to increase the number of novel interacting domain-family pairs by 302 (13.3%) from 2277, but only 16/302 (1.4%) of the interacting domain pairs have the two domains in different SCOP families. This suggests the biological units add little to the elucidation of novel biological interaction networks. However, when the orientation of the domain pairs is considered, the PQS data increases the number of novel domain-domain interfaces observed by 1455 (34.5%) to give 5677 non-redundant domain-domain interfaces. In all, 162/1455 novel domain-domain interfaces are between domains from different families, an increase of 8.9% over the PDB Entries. Overall, the PQS biological units provide a rich source of novel domain-domain interfaces that are not seen in the studied PDB Entries, and so PQS domain-domain interaction data should be exploited wherever possible in the analysis and prediction of protein-protein interactions.

摘要

整理在蛋白质数据库(PDB)中的结构数据已广泛应用于蛋白质 - 蛋白质相互作用的研究和预测。然而,由于基本的PDB条目仅包含不对称单元的内容而非生物单元,仅分析PDB条目可能会遗漏一些关键相互作用。系统检查了总共69,054个蛋白质结构分类(SCOP)结构域,以确定通过考虑存储在蛋白质四级结构(PQS)数据库中的生物单元而发现的额外新型相互作用结构域对和界面的数量。PQS数据在PDB条目中看到的那些相互作用结构域对的基础上增加了25,965个,从而得到总共61,783个冗余相互作用结构域对。在SCOP家族水平上进行冗余过滤显示,PQS使新型相互作用结构域 - 家族对的数量从2277个增加了302个(13.3%),但只有16/302(1.4%)的相互作用结构域对的两个结构域属于不同的SCOP家族。这表明生物单元对阐明新型生物相互作用网络的贡献不大。然而,当考虑结构域对的方向时,PQS数据使观察到的新型结构域 - 结构域界面的数量增加了1455个(34.5%),得到5677个非冗余结构域 - 结构域界面。总共,162/1455个新型结构域 - 结构域界面位于来自不同家族的结构域之间,比PDB条目增加了8.9%。总体而言,PQS生物单元提供了丰富的新型结构域 - 结构域界面来源,这些界面在研究的PDB条目中未见,因此在蛋白质 - 蛋白质相互作用的分析和预测中应尽可能利用PQS结构域 - 结构域相互作用数据。

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