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Using dynamic perturbations to identify fragilities in biochemical networks
KTH, School of Electrical Engineering (EES), Automatic Control.
KTH, School of Electrical Engineering (EES), Automatic Control.
2010 (English)In: International Journal of Robust and Nonlinear Control, ISSN 1049-8923, E-ISSN 1099-1239, Vol. 20, no 9, 1027-1046 p.Article in journal (Refereed) Published
Abstract [en]

Biological functions at the cellular level result from interactions between genes, proteins and metabolites within complex biochemical reaction networks. Identifying specific and localized fragilities in such networks is important to understand the source of biological malfunctions, and to devise strategies for fighting disease states that have developed robustness. Herein we consider a method based on robust control theoretic concepts for identifying network fragilities. In particular, we consider adding static or dynamic perturbations to the network edges, i.e. the direct binary interactions within the network, and compute the smallest perturbation that induces a bifurcation, and hence a qualitative change, in the network function. The proposed method can also serve as a powerful modeling tool in that it can be used to identify parts of a model that require more detailed descriptions of the underlying processes. The method is demonstrated by application to models of sustained oscillations in the glycolytic pathway and bistability in the mitogen-activated protein kinase (MAPK) signal transduction.

Place, publisher, year, edition, pages
2010. Vol. 20, no 9, 1027-1046 p.
Keyword [en]
biochemical reaction networks, bifurcations, robustness
National Category
Control Engineering
URN: urn:nbn:se:kth:diva-27546DOI: 10.1002/rnc.1590ISI: 000278418200007ScopusID: 2-s2.0-77952998402OAI: diva2:378880
QC 20101216Available from: 2010-12-16 Created: 2010-12-13 Last updated: 2010-12-16Bibliographically approved

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Jacobsen, Elling W.Trané, Camilla
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