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
Link To Document :
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