Figure 2. A schematic representation of k-ecoli457 construction procedure.

(a) Reactions are decomposed into their elementary steps and an ensemble of P models is constructed by sampling enzyme fractions and reaction reversibilities. (b) The first step of the optimization problem identifies the optimal combination of the sampled parameters by minimizing k-ecoli457 prediction deviation from the measured flux data in the nineteen mutant strains grown aerobically with glucose. (c) The second step of the optimization problem estimates the level of enzymes under the other three mutant conditions by minimizing k-ecoli457 prediction deviation from the measured flux data in the remaining six mutant strains grown anaerobically with glucose, aerobically with pyruvate and aerobically with acetate. (d) Model predictions are tested and validated using cross-validation analysis and experimentally measured metabolite concentrations, Michaelis–Menten constants and product yields.