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A Tutorial on Mathematical Modeling of Biological Signaling Pathways

MPG-Autoren
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Zi,  Zhike
Cell Signaling Dynamics (Zhike Zi), Independent Junior Research Groups (OWL), Max Planck Institute for Molecular Genetics, Max Planck Society;

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Zitation

Zi, Z. (2012). A Tutorial on Mathematical Modeling of Biological Signaling Pathways. In X. Liu, & M. D. Betterton (Eds.), Computational Modeling of Signaling Networks (pp. 41-51). Humana Press.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-0027-9E53-5
Zusammenfassung
Mathematical models have been widely used in the studies of biological signaling pathways. Among these studies, two systems biology approaches have been applied: top-down and bottom-up systems biology. The former approach focuses on X-omics researches involving the measurement of experimental data in a large scale, for example proteomics, metabolomics, or fluxomics and transcriptomics. In contrast, the bottom-up approach studies the interaction of the network components and employs mathematical models to gain some insights about the mechanisms and dynamics of biological systems. This chapter introduces how to use the bottom-up approach to establish mathematical models for cell signaling studies.