Article (Scientific journals)
Approximations and their consequences for dynamic modelling of signal transduction pathways
Millat, Thomas; Bullinger, Eric; Rohwer, Johann et al.
2007In Mathematical Biosciences, 207 (1), p. 40-57
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Abstract :
[en] Signal transduction is the process by which the cell converts one kind of signal or stimulus into another. This involves a sequence of biochemical reactions, carried out by proteins. The dynamic response of complex cell signalling networks can be modelled and simulated in the framework of chemical kinetics. The mathematical formulation of chemical kinetics results in a system of coupled differential equations. Simplifications can arise through assumptions and approximations. The paper provides a critical discussion of frequently employed approximations in dynamic modelling of signal transduction pathways. We discuss the requirements for conservation laws, steady state approximations, and the neglect of components. We show how these approximations simplify the mathematical treatment of biochemical networks but we also demonstrate differences between the complete system (c) 2006 Elsevier Inc. All rights reserved.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Millat, Thomas
Bullinger, Eric ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Méthodes computationnelles pour la biologie systémique
Rohwer, Johann
Wolkenhauer, Olaf
Language :
English
Title :
Approximations and their consequences for dynamic modelling of signal transduction pathways
Publication date :
2007
Journal title :
Mathematical Biosciences
ISSN :
0025-5564
Publisher :
Elsevier Science
Volume :
207
Issue :
1
Pages :
40-57
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 08 May 2009

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