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Network modeling of signal transduction: establishing the global view
Author(s) -
Kestler Hans A.,
Wawra Christian,
Kracher Barbara,
Kühl Michael
Publication year - 2008
Publication title -
bioessays
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.175
H-Index - 184
eISSN - 1521-1878
pISSN - 0265-9247
DOI - 10.1002/bies.20834
Subject(s) - signal transduction , signal (programming language) , transduction (biophysics) , process (computing) , computer science , biology , network model , computational biology , neuroscience , cognitive science , microbiology and biotechnology , artificial intelligence , psychology , biophysics , programming language , operating system
Embryonic development and adult tissue homeostasis are controlled through activation of intracellular signal transduction pathways by extracellular growth factors. In the past, signal transduction has largely been regarded as a linear process. However, more recent data from large‐scale and high‐throughput experiments indicate that there is extensive cross‐talk between individual signaling cascades leading to the notion of a signaling network. The behavior of such complex networks cannot be predicted by simple intuitive approaches but requires sophisticated models and computational simulations. The purpose of such models is to generate experimentally testable hypotheses and to find explanations for unexpected experimental results. Here, we discuss the need for, and the future impact of, mathematical models for exploring signal transduction in different biological contexts such as for example development. BioEssays 30:1110–1125, 2008. © 2008 Wiley Periodicals, Inc.