• DocumentCode
    64596
  • Title

    Robustness of TCA Cycle at Steady-State: An LMI-Based Analysis and Synthesis Framework

  • Author

    Panja, Surajit ; Patra, S. ; Mukherjee, Arjun ; Basu, Mainak ; Sengupta, Sabyasachi ; Dutta, Pranab K.

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol., Kharagpur, Kharagpur, India
  • Volume
    12
  • Issue
    2
  • fYear
    2013
  • fDate
    Jun-13
  • Firstpage
    128
  • Lastpage
    134
  • Abstract
    A novel analysis and synthesis framework is devised for synergism and saturation system, commonly known as S-system, for improving the robustness of the TCA cycle. In order to minimize the perturbation sensitivity, a measure of robustness of the network, a new design framework is proposed. The design constraints are formulated in computationally attractive convex optimization framework. The proposed multi-objective optimization problem, framed as Linear Matrix Inequality (LMI), makes a trade-off between the robustness and the control effort of the synthesized TCA cycle.
  • Keywords
    biology computing; linear matrix inequalities; molecular biophysics; optimisation; organic compounds; perturbation theory; sensitivity; LMI; computationally attractive convex optimization framework; design constraints; design framework; linear matrix inequality-based analysis; multiobjective optimization problem; perturbation sensitivity; saturation system; steady-state TCA cycle; synergism; synthesis framework; Linear matrix inequality; S-system; TCA cycle; robustness; sensitivity; Citric Acid Cycle; Computer Simulation; Dictyostelium; Models, Biological; Systems Biology;
  • fLanguage
    English
  • Journal_Title
    NanoBioscience, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1241
  • Type

    jour

  • DOI
    10.1109/TNB.2013.2258679
  • Filename
    6516929