• DocumentCode
    3459619
  • Title

    Automaton Models of Computational Genetic Regulatory Networks with Combinatorial Gene-Protein Logical Interactions

  • Author

    Chen, Peter C Y ; Weng, Yulin

  • Author_Institution
    Dept. of Mech. Eng., Nat. Univ. of Singapore, Singapore, Singapore
  • fYear
    2009
  • fDate
    3-5 Aug. 2009
  • Firstpage
    301
  • Lastpage
    307
  • Abstract
    This article presents a formal framework for modeling computational genetic regulatory networks as automata, with multi-threshold protein concentration and combinatorial logical gene-protein interactions. By computing the intersection of the languages generated by these automata we obtain the complete set of pathways in a gene network. We illustrate the effectiveness of our framework in the modeling of (i) morphogenesis in Arabidopsis and (ii) regulation in phage lambda.
  • Keywords
    automata theory; combinatorial mathematics; formal languages; genetics; proteins; arabidopsis; automaton model; combinatorial gene-protein logical interaction; computational genetic regulatory network; language generation; morphogenesis; multithreshold protein concentration; Automata; Bioinformatics; Biological control systems; Biological system modeling; Biological systems; Biology computing; Computational modeling; Computer networks; Genetics; Protein engineering; Gene networks; automata; combinatorial logic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics, Systems Biology and Intelligent Computing, 2009. IJCBS '09. International Joint Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3739-9
  • Type

    conf

  • DOI
    10.1109/IJCBS.2009.94
  • Filename
    5260660