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Mathematical modeling of intracellular signaling pathways

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons50384

Klipp,  Edda
Independent Junior Research Groups (OWL), Max Planck Institute for Molecular Genetics, Max Planck Society;

Liebermeister,  Wolfram
Max Planck Society;

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Klipp.pdf
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Zitation

Klipp, E., & Liebermeister, W. (2006). Mathematical modeling of intracellular signaling pathways. BMC Neuroscience, 7(Suppl. 1), S10-S10. doi:10.1186/1471-2202-7-S1-S10.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0010-8364-2
Zusammenfassung
Dynamic modeling and simulation of signal transduction pathways is an important topic in systems biology and is obtaining growing attention from researchers with experimental or theoretical background. Here we review attempts to analyze and model specific signaling systems. We review the structure of recurrent building blocks of signaling pathways and their integration into more comprehensive models, which enables the understanding of complex cellular processes. The variety of mechanisms found and modeling techniques used are illustrated with models of different signaling pathways. Focusing on the close interplay between experimental investigation of pathways and the mathematical representations of cellular dynamics, we discuss challenges and perspectives that emerge in studies of signaling systems.