title: Bioinformatics analyses for signal transduction networks.
abstract: 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 bioinformatics 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.
authors.affiliation: College of Mechanical & Electronic Engineering and Automatization, National University of Defense Technology, Changsha, 410073, China.
authors.forename: Wei
authors.initials: W
authors.lastname: Liu
authors.forename: Dong
authors.initials: D
authors.lastname: Li
authors.forename: Yunping
authors.initials: Y
authors.lastname: Zhu
authors.forename: Fuchu
authors.initials: F
authors.lastname: He
mesh_terms: D019295:Computational Biology; D003198:Computer Simulation; D016208:Databases, Factual; D016015:Logistic Models; D008390:Markov Chains; D008954:Models, Biological; D015398:Signal Transduction / Q000502:physiology*; D049490:Systems Biology