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This article is part of the supplement: Problems and tools in the systems biology of the neuronal cell

Open Access Highly Accessed Review

Mathematical modeling of intracellular signaling pathways

Edda Klipp* and Wolfram Liebermeister

Author Affiliations

Max Planck Institute for Molecular Genetics, Ihnestr. 73, 14195 Berlin, Germany

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BMC Neuroscience 2006, 7(Suppl 1):S10  doi:10.1186/1471-2202-7-S1-S10

Published: 30 October 2006

Abstract

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.