Stochastic delay differential equations for genetic regulatory networks


Autoria(s): Tian, Tianhai; Burrage, Kevin; Burrage, Pamela M.; Carletti, Margherita
Contribuinte(s)

Brenner

Goovaerts

Mitsui

Ng

Sommeijer

Wuytack

Data(s)

15/08/2007

Resumo

Time delay is an important aspect in the modelling of genetic regulation due to slow biochemical reactions such as gene transcription and translation, and protein diffusion between the cytosol and nucleus. In this paper we introduce a general mathematical formalism via stochastic delay differential equations for describing time delays in genetic regulatory networks. Based on recent developments with the delay stochastic simulation algorithm, the delay chemical masterequation and the delay reaction rate equation are developed for describing biological reactions with time delay, which leads to stochastic delay differential equations derived from the Langevin approach. Two simple genetic regulatory networks are used to study the impact of' intrinsic noise on the system dynamics where there are delays. (c) 2006 Elsevier B.V. All rights reserved.

Identificador

http://espace.library.uq.edu.au/view/UQ:83261

Idioma(s)

eng

Publicador

Elsevier BV

Palavras-Chave #Mathematics, Applied #stochastic delay differential equations #genetic regulatory networks #chemical Langevin equation #stochastic simulation algorithm #Oscillatory Expression #Chemical-kinetics #Systems #Hes1 #Approximation #Simulation #Noise #C1 #230116 Numerical Analysis #239901 Biological Mathematics #780101 Mathematical sciences
Tipo

Journal Article