• DocumentCode
    2744572
  • Title

    EGFR Signaling Pathway estimation using a RISE-based asymptotic observer

  • Author

    Giotis, Thomas ; Psillakis, Haris E. ; Panagiotidou, Agapi ; Chatzidamianou, Nikolina ; Christodoulou, Manolis A.

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Tech. Univ. of Crete, Chania, Greece
  • fYear
    2011
  • fDate
    20-23 June 2011
  • Firstpage
    509
  • Lastpage
    514
  • Abstract
    In this paper a RISE (Robust Integral of the Sign Error) observer approach is used for estimating the concentrations of the proteins that participate in the reactions of a biological system. The system under study is the Epidermal Growth Factor Receptor (EGFR) Signaling Pathway. The EGFR family is directly related with diseases such as multiple sclerosis or Alzheimer and its members are important in basic research and drug development. The RISE observer provides estimates that rapidly converge asymptotically to the system´s states and their derivatives. Simulation studies verify the effectiveness of the proposed approach.
  • Keywords
    biochemistry; diseases; enzymes; estimation theory; molecular biophysics; EGFR signaling pathway estimation; RISE-based asymptotic observer; biological system; diseases; drug development; epidermal growth factor receptor signaling pathway; proteins; Computational modeling; Epidermis; Kinetic theory; Observers; Proteins; Simulation; EGFR Signaling Pathway; RISE Observer; Systems Biology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control & Automation (MED), 2011 19th Mediterranean Conference on
  • Conference_Location
    Corfu
  • Print_ISBN
    978-1-4577-0124-5
  • Type

    conf

  • DOI
    10.1109/MED.2011.5983219
  • Filename
    5983219