• DocumentCode
    1765489
  • Title

    The Application of Finite State Machine in Modeling and Control of Gene Mutation Process

  • Author

    Rui Gao ; Wensong Hu ; Tzyh-Jong Tarn

  • Author_Institution
    Sch. of Control Sci. & Eng., Shandong Univ., Ji´nan, China
  • Volume
    12
  • Issue
    4
  • fYear
    2013
  • fDate
    Dec. 2013
  • Firstpage
    265
  • Lastpage
    274
  • Abstract
    This paper extends our previous study on discrete events system formulations of DNA hybridization, and focuses discussions on metabolism and gene mutation in molecular biology. Finite state machine (FSM) theory is extensively applied to represent key concepts and analyzes the processes related to the biological phenomena mentioned above. The goal is to mathematically represent and interpret the process of gene mutation and the effects on structures of protein macro molecule caused by gene mutation. We hope the proposed model will provide a foothold for introducing the information science and the control theory tools in molecular biology.
  • Keywords
    DNA; biochemistry; finite state machines; genetics; genomics; mathematical analysis; molecular biophysics; molecular configurations; proteins; DNA hybridization; biological phenomena; discrete event system formulations; finite state machine theory; gene mutation process; mathematical interpretation; mathematical representation; metabolism; molecular biology; protein macromolecule structures; Biological system modeling; DNA; Hidden Markov models; Proteins; Finite state machine; gene mutation; mathematical formulation; metabolism; molecular biology;
  • fLanguage
    English
  • Journal_Title
    NanoBioscience, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1241
  • Type

    jour

  • DOI
    10.1109/TNB.2013.2260866
  • Filename
    6530692