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Article: Computational methodologies for modelling, analysis and simulation of signalling networks.

Gilbert, David / Fuss, Hendrik / Gu, Xu / Orton, Richard / Robinson, Steve / Vyshemirsky, Vladislav / Kurth, Mary Jo / Downes, C Stephen / Dubitzky, Werner

Briefings in bioinformatics

2006  Volume 7, Issue 4, Page(s) 339–353

Abstract: ... signalling networks. We propose a conceptual framework, and discuss the role of signalling networks in three ... signalling and kinase cascades, cell-cycle regulation and wound healing. We report on a variety of modelling ... This article is a critical review of computational techniques used to model, analyse and simulate ...

Abstract This article is a critical review of computational techniques used to model, analyse and simulate signalling networks. We propose a conceptual framework, and discuss the role of signalling networks in three major areas: signal transduction, cellular rhythms and cell-to-cell communication. In order to avoid an overly abstract and general discussion, we focus on three case studies in the areas of receptor signalling and kinase cascades, cell-cycle regulation and wound healing. We report on a variety of modelling techniques and associated tools, in addition to the traditional approach based on ordinary differential equations (ODEs), which provide a range of descriptive and analytical powers. As the field matures, we expect a wider uptake of these alternative approaches for several reasons, including the need to take into account low protein copy numbers and noise and the great complexity of cellular organisation. An advantage offered by many of these alternative techniques, which have their origins in computing science, is the ability to perform sophisticated model analysis which can better relate predicted behaviour and observations.
MeSH term(s) Algorithms ; Animals ; Cell Communication ; Cell Cycle/physiology ; Cell Physiological Phenomena ; Computational Biology/methods ; Computer Simulation ; Humans ; Models, Biological ; Receptor Protein-Tyrosine Kinases/metabolism ; Signal Transduction ; Software ; Systems Biology
Chemical Substances Receptor Protein-Tyrosine Kinases (EC 2.7.10.1)
Language English
Publishing date 2006-12
Publishing country England
Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
ZDB-ID 2068142-2
ISSN 1467-5463
ISSN 1467-5463
DOI 10.1093/bib/bbl043
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