Modelling and optimisation of central metabolism response to glucose pulse

The application of global optimisation algorithms for modelling of enzyme kinetics and parameters of the central metabolism is analyzed. The model is a set of 10 highly complex stiff ordinary differential equations with 132 adaptive parameters. The efficacies of Nedler-Mead, simulated annealing, and differential evolution for minimization of variance between simulations of a model of the central metabolism and experimental data of the corresponding intracellular key metabolites are compared. Experimental data obtained during response of population of E.coli cultivated in a batch bioreactor are applied. Data are obtained during transients of 15 seconds upon a glucose impulse. Results are discussed in view of metabolic flux analysis and genetic engineering