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

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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.

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          Author and article information

          Journal
          Nat Biotechnol
          Nature biotechnology
          Springer Science and Business Media LLC
          1087-0156
          1087-0156
          Apr 2002
          : 20
          : 4
          Affiliations
          [1 ] Max Planck Institute for Dynamics of Complex Technical Systems, Leipziger Str. 44, D-39120 Magdeburg, Germany.
          Article
          nbt0402-370
          10.1038/nbt0402-370
          11923843
          2ed00f24-3adb-4592-90dc-6c34447b21aa

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