Approximations and their consequences for dynamic modelling of signal transduction pathways

[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 :

Pages :

40-57

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 08 May 2009

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