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  Computational modeling of the dynamics of the MAP kinase cascade activated by surface and internalized EGF receptors

Schoeberl, B., Eichler-Jonsson, C., Gilles, E. D., & Müller, G. (2002). Computational modeling of the dynamics of the MAP kinase cascade activated by surface and internalized EGF receptors. Nature Biotechnology, 20(4), 370-375. doi:10.1038/nbt0402-370.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-A094-6 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0027-AD1F-4
Genre: Journal Article
Alternative Title : Nat. Biotechnol.

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 Creators:
Schoeberl, Birgit1, Author              
Eichler-Jonsson, C.2, Author
Gilles, E. D.1, 2, Author              
Müller, G.2, Author
Affiliations:
1Systems Biology, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738155              
2Universität Stuttgart, ou_persistent22              

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 Abstract: We present a computational model that offers an integrated quantitative, dynamic, and topological representation of intracellular signal networks, based on known components of epidermal growth factor (EGF) receptor signal pathways. The model provides insight into signal-response relationships between the binding of EGF to its receptor at the cell surface and the activation of downstream proteins in the signaling cascade. It shows that EGF-induced responses are remarkably stable over a 100-fold range of ligand concentration and that the critical parameter in determining signal efficacy is the initial velocity of receptor activation. The predictions of the model agree well with experimental analysis of the effect of EGF on two downstream responses, phosphorylation of ERK-1/2 and expression of the target gene, c-fos. © 2002 Nature Publishing Group [accessed 2014 October 16]

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Language(s): eng - English
 Dates: 2002
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: eDoc: 13766
DOI: 10.1038/nbt0402-370
 Degree: -

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Title: Nature Biotechnology
  Alternative Title : Nat. Biotechnol.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 20 (4) Sequence Number: - Start / End Page: 370 - 375 Identifier: ISSN: 1087-0156