• DocumentCode
    2362238
  • Title

    Modeling of system biology: from DNA to protein by automata networks

  • Author

    Yeol, Joe W. ; Barjis, I. ; Ryu, Y.S.

  • Author_Institution
    Dept. of Mech., Aerosp., & Manuf. Eng., Polytech. Univ., Brooklyn, NY, USA
  • fYear
    2005
  • fDate
    4-7 Jan. 2005
  • Firstpage
    523
  • Lastpage
    528
  • Abstract
    The emphasis of this paper is on using finite automata (FA) as a modeling tool to model, simulate and analyze the process of protein production. There is tremendous potential for mathematical and computational approaches in leading to fundamental insights and important practical benefits in research on biological systems. Mathematical and computational approaches have long been appreciated in physics and have played an ever-increasing role in chemistry. Now more and more molecular biologist and biochemists are interested in using computer science applications and mathematical approaches in their work. In the first section, we introduce the basic concept of bioinformatics and modeling tools in biology. In the second and third sections the molecular events of protein production process is explained and then based on the molecular events, a finite automata model is constructed.
  • Keywords
    DNA; biology computing; finite automata; modelling; molecular biophysics; proteins; DNA; bioinformatics; finite automata model network; protein production process; system biology modeling tools; Analytical models; Automata; Biological system modeling; Biological systems; Biology computing; Computational modeling; DNA; Production; Proteins; Systems biology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Sensing and Information Processing, 2005. Proceedings of 2005 International Conference on
  • Print_ISBN
    0-7803-8840-2
  • Type

    conf

  • DOI
    10.1109/ICISIP.2005.1529510
  • Filename
    1529510