Literature DB >> 12241074

Dynamic stability of signal transduction networks depending on downstream and upstream specificity of protein kinases.

Bernd Binder1, Reinhart Heinrich.   

Abstract

Mathematical methods are used for explaining the structural design of signal transduction networks, e.g. MAP kinase cascades, which control cell proliferation, differentiation or apoptosis. Taking into account protein kinases and phosphatases the interrelation between the topology of signaling networks and the stability of their ground state are analysed. It is shown that the stability is closely related to the system's dimension and to the number of cycles within the network. Systems with a higher number of kinases and/or cycles tend to be more unstable. In contrast to that increasing phosphatase activity stabilises the ground state.

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Year:  2002        PMID: 12241074     DOI: 10.1023/a:1020302318189

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  4 in total

1.  Optimal stoichiometric designs of ATP-producing systems as determined by an evolutionary algorithm.

Authors:  A Stephani; J C Nuño; R Heinrich
Journal:  J Theor Biol       Date:  1999-07-07       Impact factor: 2.691

2.  Mathematical models of protein kinase signal transduction.

Authors:  Reinhart Heinrich; Benjamin G Neel; Tom A Rapoport
Journal:  Mol Cell       Date:  2002-05       Impact factor: 17.970

Review 3.  MAP kinase pathways.

Authors:  M H Cobb
Journal:  Prog Biophys Mol Biol       Date:  1999       Impact factor: 3.667

4.  The puzzle of the Krebs citric acid cycle: assembling the pieces of chemically feasible reactions, and opportunism in the design of metabolic pathways during evolution.

Authors:  E Meléndez-Hevia; T G Waddell; M Cascante
Journal:  J Mol Evol       Date:  1996-09       Impact factor: 2.395

  4 in total
  1 in total

1.  Differential dynamic properties of scleroderma fibroblasts in response to perturbation of environmental stimuli.

Authors:  Momiao Xiong; Frank C Arnett; Xinjian Guo; Hao Xiong; Xiaodong Zhou
Journal:  PLoS One       Date:  2008-02-27       Impact factor: 3.240

  1 in total

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