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Current challenges in quantitative modeling of epidermal growth factor signaling
Author(s) -
Breitling Rainer,
Hoeller Daniela
Publication year - 2005
Publication title -
febs letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.593
H-Index - 257
eISSN - 1873-3468
pISSN - 0014-5793
DOI - 10.1016/j.febslet.2005.10.034
Subject(s) - compartmentalization (fire protection) , epidermal growth factor , testbed , endosome , systems biology , computer science , computational model , computational biology , biology , field (mathematics) , microbiology and biotechnology , neuroscience , intracellular , artificial intelligence , genetics , mathematics , biochemistry , receptor , pure mathematics , enzyme , computer network
Over the last decade, epidermal growth factor (EGF) signaling has been used repeatedly as a testbed for pioneering computational systems biology. Recent breakthroughs in our molecular understanding of EGF signaling pose new challenges for mathematical modeling strategies. Three key areas emerge as particularly relevant: the pervasive importance of compartmentalization and endosomal trafficking; the complexity of signalosome complexes; and the regulatory influence of diffusion and spatiality. Each one of them demands a drastic change in current computational approaches. We discuss recent developments in the field that address these emerging aspects in a new generation of more realistic – and potential more useful – models of EGF signaling.