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Analysis and application of large-scale protein-protein interaction data sets

Analysis and application of large-scale protein-protein interaction data sets

作     者:SUN Jingchun XU Jinlin LI Yixue SHI Tieliu 

作者机构:School of Life Sciences & Technology Shanghai Jiaotong University Shanghai 200240 China Bioinformation Center Shanghai Institutes for Biological Sciences Chinese Academy of Sciences Shanghai 200031 China 

出 版 物:《Chinese Science Bulletin》 (CHINESE SCIENCE BULLETIN)

年 卷 期:2005年第50卷第20期

页      面:2267-2272页

核心收录:

学科分类:0710[理学-生物学] 071010[理学-生物化学与分子生物学] 081704[工学-应用化学] 07[理学] 08[工学] 0817[工学-化学工程与技术] 

基  金:This work was supported by the 863 Hi-Tech Program(Grant Nos.2001AA231011,2002AA231051,2003AA23101 l&2004BA711A21) National 973 Key Basic Research Program(Grant Nos.2002CB713807,2003CB715901&2004CB518606) the Na-tional Natural Science Foundation of China(Grant No.904080 10) 

主  题:蛋白质 交互作用 生物学 功能预测 生物途径 

摘      要:Protein-protein interactions play key roles in cells. Lots of experimental approaches and in silico methods have been developed to identify and predict large-scale pro- tein-protein interactions. However, compared with the tradi- tionally experimental results, the high-throughput pro- tein-protein interaction data often contain the false positives in high probability. In order to fully utilize the large-scale data, it is necessary to develop bioinformatic methods for systematically evaluating those data in order to further im- prove the data reliability and mine biological information. This review summarizes the methodologies of analysis and application of high-throughput protein-protein interaction data, including the evaluation methods, the relationship be- tween protein-protein interaction data and other protein biological information, and their applications in biological study. In addition, this paper also suggests some interesting topics on mining high-throughput protein-protein interaction data.

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