蛋白质相互作用数据库及其应用

对蛋白质相互作用及其网络的了解不仅有助于深入理解生命活动的本质和疾病发生的机制，而且可以为药物研发提供靶点.目前，通过高通量筛选、计算方法预测和文献挖掘等方法,获得了大批量的蛋白质相互作用数据，并由此构建了很多内容丰富并日益更新的蛋白质相互作用数据库.本文首先简要阐述了大规模蛋白质相互作用数据产生的3种方法，然后重点介绍了几个人类相关的蛋白质相互作用公共数据库，包括HPRD、BIND、 IntAct、MINT、 DIP 和MIPS，并概述了蛋白质相互作用数据库的整合情况以及这些数据库在蛋白质相互作用网络构建上的应用.

An Introduction to Protein-Protein Interaction Database

The better understanding of protein-protein interactions is crucial for elucidating the structural/functional relations of proteins, investigating their roles in associated disease development, and determining potential drug targets for clinical applications. A vast number of protein-protein interactions have been identified and the information was organized and hosted in many protein-protein interaction databases with the help of high throughput screening technologies, computational predictions and literature-mining processes. This review will first introduce the three common methods used to acquire protein-protein interaction data in large-scale, and then will focus on the introduction of public databases for protein-protein interactions in humans, including HPRD, BIND, IntAct, MINT, DIP, MIPS, as well as the interconnection and the cross-reference of these databases. Finally we will discuss the application of these databases for building protein-protein interaction networks.