Potassium is the most important monovalent cation in living cells. The regulation of K
+ transport in microorganisms has been studied and understood only insufficiently in the past. In this thesis, a dynamic model of K
+ uptake and its regulation by the Kdp system of
E. coli was developed and validated. In this context, a robust method for parameter identification has been developed that is insensitive to parameter correlations and measurement noise. To determine the influence of non-identifiable parameters on the model behavior several methods for the simulation of parameter uncertainties were applied and enhanced. Numerical tools to analyze both the network topology and the qualitative dynamic behavior of the model were developed additionally.
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Potassium is the most important monovalent cation in living cells. The regulation of K
+ transport in microorganisms has been studied and understood only insufficiently in the past. In this thesis, a dynamic model of K
+ uptake and its regulation by the Kdp system of
E. coli was developed and validated. In this context, a robust method for parameter identification has been developed that is insensitive to parameter correlations and measurement noise. To determine the influence of non-identifiable...
»