文章基本信息

标题：Mathematical modeling of intracellular signaling pathways
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作者：Edda Klipp ; Wolfram Liebermeister
期刊名称：BMC Neuroscience
印刷版ISSN：1471-2202
电子版ISSN：1471-2202
出版年度：2006
卷号：7
期号：1
页码：1
DOI：10.1186/1471-2202-7-S1-S10
语种：English
出版社：BioMed Central
摘要：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.