DocumentCode :
2819989
Title :
Evaluating the robustness of a biochemical network model
Author :
Ghaemi, Reza ; Vecchio, Domitilla Del
Author_Institution :
Michigan Univ., Ann Arbor
fYear :
2007
fDate :
12-14 Dec. 2007
Firstpage :
615
Lastpage :
620
Abstract :
Mathematical models of robust biological systems are expected to be robust against small variations in the model´s parameters. In this paper, we investigate the robustness of the model proposed by Laub and Loomis for the molecular network underlying adenosine 3´,5´-cycle monophosphate (cAMP) oscillations observed in populations of Dictyostelium cells 4 hours after the initiation of development. This is performed by using bifurcation analysis. In particular, we reduce the problem to study the persistence of the periodic orbit that arises from Hopf bifurcation as one key parameter is varied. By introducing an optimization problem, we determine the maximum allowed parameter variation under which the oscillatory behavior of the system persists. We obtain maximum allowed variation of 0.51% and show that this bound is tight.
Keywords :
bifurcation; biochemistry; biology; molecular biophysics; Dictyostelium cells; Hopf bifurcation; bifurcation analysis; biochemical network model; molecular network; robust biological systems; Bifurcation; Biological control systems; Biological system modeling; Biological systems; Computer networks; Extraterrestrial measurements; Linear approximation; Mathematical model; Robust control; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2007 46th IEEE Conference on
Conference_Location :
New Orleans, LA
ISSN :
0191-2216
Print_ISBN :
978-1-4244-1497-0
Electronic_ISBN :
0191-2216
Type :
conf
DOI :
10.1109/CDC.2007.4434348
Filename :
4434348
Link To Document :
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