Literature DB >> 16293107

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

Richard J Orton1, Oliver E Sturm, Vladislav Vyshemirsky, Muffy Calder, David R Gilbert, Walter Kolch.   

Abstract

The MAPK (mitogen-activated protein kinase) pathway is one of the most important and intensively studied signalling pathways. It is at the heart of a molecular-signalling network that governs the growth, proliferation, differentiation and survival of many, if not all, cell types. It is de-regulated in various diseases, ranging from cancer to immunological, inflammatory and degenerative syndromes, and thus represents an important drug target. Over recent years, the computational or mathematical modelling of biological systems has become increasingly valuable, and there is now a wide variety of mathematical models of the MAPK pathway which have led to some novel insights and predictions as to how this system functions. In the present review we give an overview of the processes involved in modelling a biological system using the popular approach of ordinary differential equations. Focusing on the MAPK pathway, we introduce the features and functions of the pathway itself before comparing the available models and describing what new biological insights they have led to.

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Year:  2005        PMID: 16293107      PMCID: PMC1316260          DOI: 10.1042/BJ20050908

Source DB:  PubMed          Journal:  Biochem J        ISSN: 0264-6021            Impact factor:   3.857


  80 in total

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3.  Simulation tools for biochemical networks: evaluation of performance and usability.

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Review 4.  Biological robustness.

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5.  Principles behind the multifarious control of signal transduction. ERK phosphorylation and kinase/phosphatase control.

Authors:  Jorrit J Hornberg; Frank J Bruggeman; Bernd Binder; Christian R Geest; A J Marjolein Bij de Vaate; Jan Lankelma; Reinhart Heinrich; Hans V Westerhoff
Journal:  FEBS J       Date:  2005-01       Impact factor: 5.542

6.  Hyperdigraph-theoretic analysis of the EGFR signaling network: initial steps leading to GTP:Ras complex formation.

Authors:  Joseph S Oliveira; Janet B Jones-Oliveira; David A Dixon; Colin G Bailey; Dean W Gull
Journal:  J Comput Biol       Date:  2004       Impact factor: 1.479

7.  Cytoplasmic-to-nuclear volume ratio affects AP-1 complex formation as an indicator of cell cycle responsiveness.

Authors:  Izzet Oney; Isil Aksan Kurnaz; M Levent Kurnaz
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8.  Sustained MAPK activation is dependent on continual NGF receptor regeneration.

Authors:  Dongru Qiu; Likai Mao; Shinichi Kikuchi; Masaru Tomita
Journal:  Dev Growth Differ       Date:  2004-10       Impact factor: 2.053

9.  Kinetic analysis of RSK2 and Elk-1 interaction on the serum response element and implications for cellular engineering.

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Journal:  Biotechnol Bioeng       Date:  2004-12-30       Impact factor: 4.530

Review 10.  Untying the regulation of the Raf-1 kinase.

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Journal:  Arch Biochem Biophys       Date:  2002-08-01       Impact factor: 4.013

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  107 in total

Review 1.  Mathematical simulation of membrane protein clustering for efficient signal transduction.

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3.  Multiple decisive phosphorylation sites for the negative feedback regulation of SOS1 via ERK.

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4.  Opportunities and challenges for nutritional proteomics in cancer prevention.

Authors:  Donato F Romagnolo; John A Milner
Journal:  J Nutr       Date:  2012-05-30       Impact factor: 4.798

5.  Temporal protein expression pattern in intracellular signalling cascade during T-cell activation: a computational study.

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6.  Employing a Mechanistic Model for the MAPK Pathway to Examine the Impact of Cellular all or None Behavior on Overall Tissue Response.

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Review 7.  Selective Raf inhibition in cancer therapy.

Authors:  Vladimir Khazak; Igor Astsaturov; Ilya G Serebriiskii; Erica A Golemis
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8.  Biphasic responses in multi-site phosphorylation systems.

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Journal:  J R Soc Interface       Date:  2013-10-09       Impact factor: 4.118

9.  Perfluorobutanesulfonic acid (PFBS) potentiates adipogenesis of 3T3-L1 adipocytes.

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Journal:  Food Chem Toxicol       Date:  2018-07-18       Impact factor: 6.023

Review 10.  Nanovehicular intracellular delivery systems.

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