Droit Arnaud, Poirier Guy G, Hunter Joanna M
Health and Environment Unit, Faculty of Medicine, Eastern Quebec Proteomics Centre, 2705 Laurier Blvd, Ste-Foy, Quebec, Canada G1 V 4 G2.
J Mol Endocrinol. 2005 Apr;34(2):263-80. doi: 10.1677/jme.1.01693.
An ambitious goal of proteomics is to elucidate the structure, interactions and functions of all proteins within cells and organisms. One strategy to determine protein function is to identify the protein-protein interactions. The increasing use of high-throughput and large-scale bioinformatics-based studies has generated a massive amount of data stored in a number of different databases. A challenge for bioinformatics is to explore this disparate data and to uncover biologically relevant interactions and pathways. In parallel, there is clearly a need for the development of approaches that can predict novel protein-protein interaction networks in silico. Here, we present an overview of different experimental and bioinformatic methods to elucidate protein-protein interactions.
蛋白质组学的一个宏伟目标是阐明细胞和生物体内所有蛋白质的结构、相互作用及功能。确定蛋白质功能的一种策略是识别蛋白质-蛋白质相互作用。基于高通量和大规模生物信息学的研究使用日益增多,已产生大量存储在多个不同数据库中的数据。生物信息学面临的一个挑战是探索这些不同的数据,并揭示生物学上相关的相互作用和途径。与此同时,显然需要开发能够在计算机上预测新型蛋白质-蛋白质相互作用网络的方法。在此,我们概述了用于阐明蛋白质-蛋白质相互作用的不同实验和生物信息学方法。