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  Modular Analysis of Signaling Networks

Saez-Rodriguez, J., Kremling, A., Conzelmann, H., Ginkel, M., & Gilles, E. D. (2004). Modular Analysis of Signaling Networks. Poster presented at 5th International Conference on Systems Biology, Heidelberg, Germany.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-9D98-8 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0027-C1D0-6
Genre: Poster

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 Creators:
Saez-Rodriguez, J.1, Author              
Kremling, A.1, Author              
Conzelmann, H.1, 2, Author              
Ginkel, Martin1, Author              
Gilles, E. D.1, Author              
Affiliations:
1Systems Biology, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738155              
2Inst. for System Dynamics and Control Engineering, Univ. of Stuttgart, persistent:22              

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 Abstract: The data available about signaling networks grows steadily, boosting the development of increasingly detailed models. However, the holistic properties of the signaling systems are difficult to grasp. A decomposition into modules has been proposed as a useful tool to untangle biological complexity. Once modules are defined, they can be thoroughly analysed, and later re-wired into the whole networks. However, a clear, unique definition of module is still lacking [1]. We try to demarcate modules from a system-theoretical point of view. For example, the absence of retroactivity in the connections between the modules might be an interesting criterion for decomposing signaling networks [2]. Such units have properties which are independent of downstream elements and can be relatively straightforwardly analyzed by means of system theory s tools [2-3]. Additionally, a model reduction based on this modular approach can lead to a significant simplification of the models [4]. We have applied this approach to several cases, ranging from the relatively simple two-component system in E. coli to the complex EGF signaling in mammal cells [2-4]. References: [1] Wolf D.M. and Arkin, A.P. Curr. Opin. Microbiol. 6(2): 125-34, 2003. [2] J. Saez-Rodriguez, A. Kremling and E.D. Gilles, Comput. Chem. Eng., in press. [3] J. Saez-Rodriguez, A. Kremling, H. Conzelmann, K. Bettenbrock and E.D. Gilles, IEEE CSM, 24(4): 35-52, 2004. [4] H. Conzelmann, J. Saez-Rodriguez, T. Sauter, E. Bullinger, F. Allgöwer and E.D. Gilles, IEE Systems Biology, in press.

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Language(s): eng - English
 Dates: 2004
 Publication Status: Not specified
 Pages: -
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 Rev. Method: -
 Identifiers: eDoc: 207970
 Degree: -

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Title: 5th International Conference on Systems Biology
Place of Event: Heidelberg, Germany
Start-/End Date: 2004-10-10 - 2004-10-13

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