• DocumentCode
    3522364
  • Title

    Gene Knockout Study in Reduced Kidney Metabolic Network

  • Author

    Ding De-wu ; Peng Xiu-fen

  • Author_Institution
    Dept. of Math. & Comput. Sci., Chizhou Coll., Chizhou, China
  • fYear
    2011
  • fDate
    28-29 May 2011
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    As human metabolic network models become available, medical and pharmaceutical applications of these models are becoming feasible nowadays, and thus reconstruction and analysis of genome-scale models for human tissue-specific metabolism is becoming an excellent starting effort into the systems medicine era. Due to its significance for human physiology, a kidney metabolic model is studied with flux balance analysis in the present paper. The reduced metabolic model of human kidney used in the paper contains 276 genes, 340 metabolites and 443 metabolic reactions. We then investigated the optimal flux distributions and single/double gene deletion simulation of the model based on flux balance analysis.
  • Keywords
    biochemistry; genetics; kidney; molecular biophysics; physiological models; double gene deletion simulation; flux balance analysis; gene knockout study; genes; genome scale model analysis; genome scale model reconstruction; human kidney reduced metabolic model; human metabolic network models; human tissue specific metabolism; kidney metabolic model; metabolic reactions; metabolites; optimal flux distributions; reduced kidney metabolic network; single gene deletion simulation; Analytical models; Biochemistry; Bioinformatics; Computational modeling; Genomics; Humans; Kidney;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications (ISA), 2011 3rd International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9855-0
  • Electronic_ISBN
    978-1-4244-9857-4
  • Type

    conf

  • DOI
    10.1109/ISA.2011.5873450
  • Filename
    5873450