• DocumentCode
    2514264
  • Title

    New Results on Cell Metabolic Networks

  • Author

    Zhou, Qinghua ; Li, Yan ; Xiong, Momiao

  • Author_Institution
    Coll. of Math. & Comput., Hebei Univ., Baoding, China
  • fYear
    2009
  • fDate
    11-13 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Evolutionary forces will affect the structure of metabolic networks and their dynamic behaviors. To examine this hypothesis, in this work we investigate the relationship between the complication of the metabolic glycolytic networks and the production of important metabolites in different cells. Specially, we simulate the models about See, Dmgr, Dsmi, Pic in fungi; We develop the metabolic networks models of them by using the Michaelis-Menten equations which are rewritten by adding control variables to each biochemical reactions combined with mathematical methods. The results show that, more complicated the metabolic networks are, higher the yield of the production of important metabolites is.
  • Keywords
    biochemistry; cellular biophysics; enzymes; molecular biophysics; Michaelis-Menten equations; biochemical reactions; cell metabolic networks; fungi; metabolic glycolytic network complication; metabolic network dynamic behavior; metabolic network structure; metabolite production; Biochemical analysis; Biochemistry; Biological system modeling; Equations; Fungi; Kinetic theory; Mathematical model; Mathematics; Optimal control; Production;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2901-1
  • Electronic_ISBN
    978-1-4244-2902-8
  • Type

    conf

  • DOI
    10.1109/ICBBE.2009.5163104
  • Filename
    5163104