• DocumentCode
    1314410
  • Title

    Delay-Independent Stability of Genetic Regulatory Networks

  • Author

    Wu, Fang-Xiang

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Saskatchewan, Saskatoon, SK, Canada
  • Volume
    22
  • Issue
    11
  • fYear
    2011
  • Firstpage
    1685
  • Lastpage
    1693
  • Abstract
    Genetic regulatory networks can be described by nonlinear differential equations with time delays. In this paper, we study both locally and globally delay-independent stability of genetic regulatory networks, taking messenger ribonucleic acid alternative splicing into consideration. Based on nonnegative matrix theory, we first develop necessary and sufficient conditions for locally delay-independent stability of genetic regulatory networks with multiple time delays. Compared to the previous results, these conditions are easy to verify. Then we develop sufficient conditions for global delay-independent stability for genetic regulatory networks. Compared to the previous results, this sufficient condition is less conservative. To illustrate theorems developed in this paper, we analyze delay-independent stability of two genetic regulatory networks: a real-life repressilatory network with three genes and three proteins, and a synthetic gene regulatory network with five genes and seven proteins. The simulation results show that the theorems developed in this paper can effectively determine the delay-independent stability of genetic regulatory networks.
  • Keywords
    delays; genetics; matrix algebra; nonlinear differential equations; proteins; stability; delay-independent stability; global delay-independent stability; local delay-independent stability; nonlinear differential equations; nonnegative matrix theory; ribonucleic acid; synthetic gene regulatory network; time delays; Circuit stability; Delay effects; Eigenvalues and eigenfunctions; Genetics; Proteins; Splicing; Stability analysis; Delay-independent stability; M-matrix multiple time delays; genetic regulatory networks; messenger ribonucleic acid alternative splicing; Algorithms; Alternative Splicing; Artificial Intelligence; Computer Simulation; Gene Expression Regulation; Genetics; Models, Genetic; Neural Networks (Computer); RNA, Messenger; Thermodynamics;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/TNN.2011.2165556
  • Filename
    6009229