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Modeling and Dynamical Analysis of Molecular Networks

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Complex Sciences (Complex 2009)

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Abstract

One of major challenges for post-genomic biology is to understand how molecules dynamically interact to form networks which facilitate sophisticated biological functions. Instead of analyzing individual molecules, systems biology is to study dynamical networks of interacting molecules which give rise to life. In recent years, many progress have been made in systematic approaches and high-throughput technologies for systematic studying complex molecular networks. Analyzing these networks provides novel insights in understanding not only complicated cellular phenomena but also the essential principles or fundamental mechanisms behind the phenomena at system level. This paper presents a brief survey on recent developments on modeling and analyzing complex molecular networks mainly from global and dynamical properties of complex molecular networks. Some recent developments and perspectives of analysis on molecular networks are also discussed.

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Author information

Authors and Affiliations

  1. Institute of Systems Biology, Shanghai University, Shanghai, 200444, China

    Ruiqi Wang, Xing-Ming Zhao & Zengrong Liu

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  1. Ruiqi Wang
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  2. Xing-Ming Zhao
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  3. Zengrong Liu
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Editors and Affiliations

  1. Network Technology Research Centre, Research Techno Plaza, Nanyang Technology University, 4th story X‘Frontiers, Block 50 Nanyang Drive, 637553, Singapore

    Jie Zhou

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© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Wang, R., Zhao, XM., Liu, Z. (2009). Modeling and Dynamical Analysis of Molecular Networks. In: Zhou, J. (eds) Complex Sciences. Complex 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02469-6_90

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  • DOI: https://doi.org/10.1007/978-3-642-02469-6_90

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02468-9

  • Online ISBN: 978-3-642-02469-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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