Figure 4.

Workflow diagram of the enrichment analysis based on the ensemble modeling method. An ensemble of models is built by random sampling of the parameter space (log-normal distribution). Physiological data (growth and uptake rates) are used to constrain the models. The ensemble is used for simulation of flux distributions, which are filtered by comparison with ¹³C-based intracellular flux data. The subset of ensembles with higher predictive ability is compared to those with lower predictive ability and enriched parameters are detected by t-test analysis. The active allosteric control cases are identified by the positively enriched parameters for the respective interactions.