• DocumentCode
    2890485
  • Title

    Biological Interpretation of Model-Reference Adaptive Control in a Mass Action Kinetics Metabolic Pathway Model

  • Author

    Quo, Chang F. ; Wang, May D.

  • Author_Institution
    Wallace H Coulter Dept. of Biomed. Eng., Emory Univ., Atlanta, GA, USA
  • fYear
    2011
  • fDate
    12-15 Nov. 2011
  • Firstpage
    265
  • Lastpage
    268
  • Abstract
    The usefulness of control theory to model robustness in metabolic pathways is limited because controller properties and their implications on pathway regulation are unclear. Using sphingolipid biosynthesis in response to single-gene overexpression as a case study, we apply model-reference adaptive control (MRAC) to model regulation in a mass action kinetics pathway model and report on its properties. Tracking error between treated cells (plant) and wild type (reference) is reduced in 9 of 10 system variables compared to using mass action kinetics only. This result is robust when system parameters are perturbed. Furthermore, we interpret control dynamics to infer potential regulatory interactions. Some observations are consistent with independent studies on the effects of the same experimental treatment, while others represent novel hypotheses that may be tested to yield additional biological insight. The usefulness and interpretation of MRAC to model metabolic pathway regulation is shown where plant dynamics approach the reference.
  • Keywords
    genetics; model reference adaptive control systems; biological interpretation; control dynamics; control theory; mass action kinetics metabolic pathway model; mass action kinetics pathway model; model-reference adaptive control; pathway regulation; plant dynamics approach; single-gene overexpression; sphingolipid biosynthesis; Adaptation models; Adaptive control; Bars; Biological system modeling; Kinetic theory; Robustness; metabolic pathways; model-reference adaptive control; regulation; sphingolipids; systems biology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine (BIBM), 2011 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    978-1-4577-1799-4
  • Type

    conf

  • DOI
    10.1109/BIBM.2011.111
  • Filename
    6120448