Bioinformatics analyses for signal transduction networks  

作　　者：LIU Wei1,2, LI Dong2, ZHU YunPing2 & HE FuChu1,2 1 College of Mechanical & Electronic Engineering and Automatization, National University of Defense Technology, Changsha 410073, China 2 State Key Laboratory of Proteomics, Beijing Proteome Research Center, Beijing Institute of Radiation Medicine, Beijing 102206, China 

出　　处：《Science China(Life Sciences)》2008年第11期994-1002,共9页中国科学（生命科学英文版）

基　　金：the Chinese Ministry of Science and Technology (Grant Nos. 2006CB910803, 2006CB910706, 2006AA02A312 and 2006AA02Z334);Creative Research Group Science Foundation of China (Grant No. 30621063);Beijing Municipal Science and Technology Project (Grant No. H030230280590)

摘　　要：Research in signaling networks contributes to a deeper understanding of organism living activities. With the development of experimental methods in the signal transduction field, more and more mechanisms of signaling pathways have been discovered. This paper introduces such popular bioin-formatics analysis methods for signaling networks as the common mechanism of signaling pathways and database resource on the Internet, summerizes the methods of analyzing the structural properties of networks, including structural Motif finding and automated pathways generation, and discusses the modeling and simulation of signaling networks in detail, as well as the research situation and tendency in this area. Now the investigation of signal transduction is developing from small-scale experiments to large-scale network analysis, and dynamic simulation of networks is closer to the real system. With the investigation going deeper than ever, the bioinformatics analysis of signal transduction would have immense space for development and application.Research in signaling networks contributes to a deeper understanding of organism living activities. With the development of experimental methods in the signal transduction field, more and more mechanisms of signaling pathways have been discovered. This paper introduces such popular bioin-formatics analysis methods for signaling networks as the common mechanism of signaling pathways and database resource on the Internet, summerizes the methods of analyzing the structural properties of networks, including structural Motif finding and automated pathways generation, and discusses the modeling and simulation of signaling networks in detail, as well as the research situation and tendency in this area. Now the investigation of signal transduction is developing from small-scale experiments to large-scale network analysis, and dynamic simulation of networks is closer to the real system. With the investigation going deeper than ever, the bioinformatics analysis of signal transduction would have immense space for development and application.

关 键 词：signal TRANSDUCTION structural MOTIF automated PATHWAYS REGENERATION dynamics simulation 

分 类 号：Q26[生物学—细胞生物学]