Literature DB >> 15261524

Quantitative analysis of signaling networks.

Herbert M Sauro1, Boris N Kholodenko.   

Abstract

The response of biological cells to environmental change is coordinated by protein-based signaling networks. These networks are to be found in both prokaryotes and eukaryotes. In eukaryotes, the signaling networks can be highly complex, some networks comprising of 60 or more proteins. The fundamental motif that has been found in all signaling networks is the protein phosphorylation/dephosphorylation cycle--the cascade cycle. At this time, the computational function of many of the signaling networks is poorly understood. However, it is clear that it is possible to construct a huge variety of control and computational circuits, both analog and digital from combinations of the cascade cycle. In this review, we will summarize the great versatility of the simple cascade cycle as a computational unit and towards the end give two examples, one prokaryotic chemotaxis circuit and the other, the eukaryotic MAPK cascade.

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Year:  2004        PMID: 15261524     DOI: 10.1016/j.pbiomolbio.2004.03.002

Source DB:  PubMed          Journal:  Prog Biophys Mol Biol        ISSN: 0079-6107            Impact factor:   3.667


  64 in total

1.  Membrane clustering and the role of rebinding in biochemical signaling.

Authors:  Andrew Mugler; Aimee Gotway Bailey; Koichi Takahashi; Pieter Rein ten Wolde
Journal:  Biophys J       Date:  2012-03-06       Impact factor: 4.033

Review 2.  Computational modelling of the receptor-tyrosine-kinase-activated MAPK pathway.

Authors:  Richard J Orton; Oliver E Sturm; Vladislav Vyshemirsky; Muffy Calder; David R Gilbert; Walter Kolch
Journal:  Biochem J       Date:  2005-12-01       Impact factor: 3.857

Review 3.  Hallucinogen actions on 5-HT receptors reveal distinct mechanisms of activation and signaling by G protein-coupled receptors.

Authors:  Harel Weinstein
Journal:  AAPS J       Date:  2006-01-06       Impact factor: 4.009

4.  Multiple feedback loop design in the tryptophan regulatory network of Escherichia coli suggests a paradigm for robust regulation of processes in series.

Authors:  Sharad Bhartiya; Nikhil Chaudhary; K V Venkatesh; Francis J Doyle
Journal:  J R Soc Interface       Date:  2006-06-22       Impact factor: 4.118

5.  The potential for signal integration and processing in interacting MAP kinase cascades.

Authors:  John H Schwacke; Eberhard O Voit
Journal:  J Theor Biol       Date:  2007-01-14       Impact factor: 2.691

6.  Intrinsic fluctuations, robustness, and tunability in signaling cycles.

Authors:  Joseph Levine; Hao Yuan Kueh; Leonid Mirny
Journal:  Biophys J       Date:  2007-03-30       Impact factor: 4.033

7.  Graph-theoretic methods for the analysis of chemical and biochemical networks. I. Multistability and oscillations in ordinary differential equation models.

Authors:  Maya Mincheva; Marc R Roussel
Journal:  J Math Biol       Date:  2007-05-31       Impact factor: 2.259

Review 8.  Cell-signalling dynamics in time and space.

Authors:  Boris N Kholodenko
Journal:  Nat Rev Mol Cell Biol       Date:  2006-03       Impact factor: 94.444

Review 9.  Ras nanoclusters: combining digital and analog signaling.

Authors:  Angus Harding; John F Hancock
Journal:  Cell Cycle       Date:  2007-10-26       Impact factor: 4.534

Review 10.  Implications of the 'Energide' concept for communication and information handling in the central nervous system.

Authors:  L F Agnati; K Fuxe; F Baluska; D Guidolin
Journal:  J Neural Transm (Vienna)       Date:  2009-02-17       Impact factor: 3.575

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