Literature DB >> 18989642

Bioinformatics analyses for signal transduction networks.

Wei Liu1, Dong Li, Yunping Zhu, Fuchu He.   

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.

Mesh:

Year:  2008        PMID: 18989642     DOI: 10.1007/s11427-008-0134-5

Source DB:  PubMed          Journal:  Sci China C Life Sci        ISSN: 1006-9305


  1 in total

Review 1.  The Genome-Scale Integrated Networks in Microorganisms.

Authors:  Tong Hao; Dan Wu; Lingxuan Zhao; Qian Wang; Edwin Wang; Jinsheng Sun
Journal:  Front Microbiol       Date:  2018-02-23       Impact factor: 5.640

  1 in total

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