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
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