Fig. 1.

Overview of the process used to integrate the metabolic and regulatory network using PROM. The metabolic network is represented using a stoichiometric matrix and regulatory interactions are represented as probabilities. The TF states are determined based on environmental conditions; the state of TF is then used to determine the on/off state of the target genes based on probabilities estimated from microarray data. The probabilities are then used to constrain the fluxes through the metabolic network.