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

查看全文 作　　者：SUN [1]Jingchun;XU [1]Jinlin;LI [1]Yixue;SHI [2]Tieliu

机构地区：[1]School of Life Sciences & Technology, Shanghai Jiaotong University, Shanghai 200240, China;[2]Bioinformation Center, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China

出　　处：《Chinese Science Bulletin》索引2005年第50卷第20期,共6页

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). 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. 关键词：蛋白质交互作用生物学功能预测生物途径

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

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