Literature DB >> 25261687

Stability and bifurcation analysis of new coupled repressilators in genetic regulatory networks with delays.

Guang Ling1, Zhi-Hong Guan2, Ding-Xin He3, Rui-Quan Liao4, Xian-He Zhang5.   

Abstract

The genetic regulatory networks are complex dynamic systems which reflect various kinetic behaviors of living things. In this paper, a new structure of coupled repressilators is introduced to exploit the underlying functions. The new coupled repressilator model consists of two identical repressilators inhibiting each other directly. The coupling delays are taken into account. The existence of a unique equilibrium for this system is verified firstly, then the stability criteria for equilibrium are analyzed without and with coupling delays. The different functions on equilibrium and its stability played by related biochemical parameters in the structure including maximal transcription rate, coupling strength, the decay rate ratio between proteins and mRNAs, and coupling delays are discussed. At last, several numerical simulations are made to demonstrate our results.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Keywords:  Coupled repressilators; Coupling delays; Hopf bifurcation; Stability

Mesh:

Year:  2014        PMID: 25261687     DOI: 10.1016/j.neunet.2014.08.012

Source DB:  PubMed          Journal:  Neural Netw        ISSN: 0893-6080


  1 in total

1.  Multi-stability in cellular differentiation enabled by a network of three mutually repressing master regulators.

Authors:  Atchuta Srinivas Duddu; Sarthak Sahoo; Souvadra Hati; Siddharth Jhunjhunwala; Mohit Kumar Jolly
Journal:  J R Soc Interface       Date:  2020-09-30       Impact factor: 4.118

  1 in total

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