• DocumentCode
    2689454
  • Title

    Evolving genetic regulatory networks for systems biology

  • Author

    Chu, Dominique

  • Author_Institution
    Univ. of Kent, Canterbury
  • fYear
    2007
  • fDate
    25-28 Sept. 2007
  • Firstpage
    875
  • Lastpage
    882
  • Abstract
    Recently there has been significant interest in evolving genetic regulatory networks with a user-determined behaviour. It is unclear whether or not artificial evolution of biochemical networks can be of direct benefit for or biological relevance to systems biology. This article highlights some pitfalls when concluding from artificially evolved genetic regulatory networks to real networks. This article also gives a (brief) review of some previous attempts to evolve genetic regulatory networks with oscillatory behaviour; it also describes a new system to evolve networks and describes the networks that have been evolved. These networks seem to be very diverse sharing no apparent common motifs either with one another or with their real-life counterparts.
  • Keywords
    biology; genetic algorithms; artificial evolution; artificially evolved genetic regulatory networks; biochemical networks; oscillatory behaviour; systems biology; user-determined behaviour; Biological system modeling; Biology computing; Computational intelligence; Evolution (biology); Genetics; Laboratories; Process design; Software tools; Systems biology; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1339-3
  • Electronic_ISBN
    978-1-4244-1340-9
  • Type

    conf

  • DOI
    10.1109/CEC.2007.4424562
  • Filename
    4424562