• DocumentCode
    690562
  • Title

    Sensitivity Analysis in Large-Scale of Metabolic Network of E. Coli

  • Author

    Kunna, Mohammed Adam ; Kadir, Tuty Asmawaty Abdul ; Jaber, Aqeel S.

  • Author_Institution
    Fac. of Comput. Syst. & software Eng., Univ. Malaysia Pahang Kuantan, Kuantan, Malaysia
  • fYear
    2013
  • fDate
    23-24 Dec. 2013
  • Firstpage
    346
  • Lastpage
    351
  • Abstract
    In this work, we have performed sensitivity analysis on a large-scale dynamic metabolic network through MATLAB program. Time profile for sensitivity indices have been calculated for each kinetic parameters, based on percentage. The sensitivity analysis has been carried out on dynamic model for Glycolysis, Pentose Phosphate, TCA cycle, Gluconeogenesis, Glycoxylate pathways and Acetate formation of E. coli. The model implicates twenty four dynamic mass balance equations for extracellular glucose and intracellular, thirty kinetic rate expressions represent concentration profiles for whole a model. Each parameter has been scald one by one into 20% for the steady state condition. The former analysis has allowed identification of eight kinetic parameters as the most effective´s ones on the complex metabolic network under study.
  • Keywords
    biology computing; molecular biophysics; sensitivity analysis; sugar; E Coli; Matlab program; TCA cycle; acetate formation; dynamic mass balance equations; extracellular glucose; gluconeogenesis; glycolysis; glycoxylate pathways; intracellular glucose; kinetic rate expressions; large-scale dynamic metabolic network; metabolic network; pentose phosphate; sensitivity analysis; Analytical models; Biochemistry; Kinetic theory; Mathematical model; Sensitivity analysis; Steady-state; dynamic modeling; metabolic network; senstivity anlysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Science Applications and Technologies (ACSAT), 2013 International Conference on
  • Conference_Location
    Kuching
  • Type

    conf

  • DOI
    10.1109/ACSAT.2013.75
  • Filename
    6836604