Dynamic Analysis of the Time-Delayed Genetic Regulatory Network Between Two Auto-Regulated and Mutually Inhibitory Genes

• DOI: 10.1007/s11538-020-00722-1
• Publication Date: 2020-03-31T19:02:52Z
• Authors: Guiyuan Wang; Zhuoqin Yang; Marc Turcotte
• Keywords: Stochastic Processes; 0303 health sciences; 03 medical and health sciences; Time Factors; Models, Genetic; Systems Biology; Homeostasis; Computer Simulation; Gene Regulatory Networks; Mathematical Concepts; Algorithms

Time delays play important roles in genetic regulatory networks. In this paper, a gene regulatory network model with time delays and mutual inhibition is considered, where time delays are regarded as bifurcation parameters. In the first part of this paper, we analyze the associated characteristic equations and obtain the conditions for the stability of the system and the existence of Hopf bifurcations in five special cases. Explicit formulas are given to determine the direction and stability of the Hopf bifurcation by using the normal form method and the center manifold theorem. Numerical simulations are then performed to illustrate the results we obtained. In the second part of the paper, using time-delayed stochastic numerical simulations, we study the impact of biological fluctuations on the system and observe that, in modest noise regimes, unexpectedly, noise acts to stabilize the otherwise destabilized oscillatory system.