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Uncertainty and robustness analysis of dynamics in biomolecular networks

Dynamical models of biomolecular networks are often affected by uncertainties in the parameter values and network structure. Uncertainty analysis on the one hand allows to determine the range of possible model behavior, given a bound on the model uncertainty. On the other hand, robustness analysis is applied to compute a range of the parameter values or model structures within which a certain feature of the model is maintained. In this talk, I will present computational methods for both uncertainty and robustness analysis of biomolecular networks, mainly applying convex optimization to compute the relevant uncertainty ranges. For the uncertainty analysis, we discuss the computation of feasible steady state ranges from given lower and upper bounds on the parameter values. The robustness analysis here is about the determination of sets in the parameter space for which a certain dynamical behavior, related to either stability or instability of equilibrium points, is maintained. The application of the methods is illustrated with models of biochemical signaling networks.

Type of Seminar:
IfA BISON Seminar
Dr Steffen Waldherr
University of Stuttgart
Apr 12, 2011   13:30

Contact Person:

Elias August
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