Stochastic delay differential equations for genetic regulatory networks

被引:130
作者
Tian, Tianhai [1 ]
Burrage, Kevin
Burrage, Pamela M.
Carletti, Margherita
机构
[1] Univ Queensland, Adv Comp Modelling Ctr, St Lucia, Qld 4067, Australia
[2] Univ Urbino, Inst Biomath, Urbino, Italy
基金
澳大利亚研究理事会;
关键词
stochastic delay differential equations; genetic regulatory networks; chemical Langevin equation; stochastic simulation algorithm;
D O I
10.1016/j.cam.2006.02.063
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
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.
引用
收藏
页码:696 / 707
页数:12
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