DocumentCode
1040300
Title
Modular analysis of signal transduction networks
Author
Saez-Rodriguez, Julio ; Kremling, Andreas ; Conzelmann, Holger ; Bettenbrock, Katja ; Gilles, Ernst Dieter
Author_Institution
Max-Planck-Institute for Dynamics of Complex Tech. Syst., Magdeburg, Germany
Volume
24
Issue
4
fYear
2004
Firstpage
35
Lastpage
52
Abstract
This paper introduces compelling problems of biological systems and signaling networks to show how engineering tools can be applied to the analysis of the cellular machinery. The mechanisms that cells have developed to process information are described, and the decomposition of signalling networks into subsystems is discussed. A novel criterion for defining modules based on the absence of retroactivity is also presented, and some simple criteria for the analysis of the resulting units are introduced. Two simple examples, two-component signaling and MAPK cascade, and a more complicated example, EGF signaling, were reviewed. An important point to discuss in model analysis for cellular system is the availability of experimental data that is sufficient to verify the model structure and model parameters.
Keywords
cellular biophysics; physiological models; biological systems; cellular machinery; modular analysis; signal transduction networks; signaling networks decomposition; Biochemistry; Biomembranes; Cellular networks; DNA; Machinery; Organisms; Proteins; Sensor systems; Signal analysis; Signal processing;
fLanguage
English
Journal_Title
Control Systems, IEEE
Publisher
ieee
ISSN
1066-033X
Type
jour
DOI
10.1109/MCS.2004.1316652
Filename
1316652
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