title: Mathematical modeling of intracellular signaling pathways.
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.
authors.affiliation: Max Planck Institute for Molecular Genetics, Ihnestr. 73, 14195 Berlin, Germany. klipp@molgen.mpg.de
authors.forename: Edda
authors.initials: E
authors.lastname: Klipp
authors.forename: Wolfram
authors.initials: W
authors.lastname: Liebermeister
mesh_terms: D000818:Animals; D001676:Biofeedback, Psychology; D007424:Intracellular Fluid / Q000502:physiology*; D008954:Models, Biological; D008962:Models, Theoretical; D017711:Nonlinear Dynamics; D015398:Signal Transduction / Q000502:physiology*