Genome-scale metabolic network modeling has become one of the most successful approaches in systems biology to investigate cellular metabolism. The work typically consists of two phases: (1) de novo reconstruction or refinement of a genome-scale metabolic network, and (2) analysis of the network using constraint-based computational modelling. Flux Balance Analysis (FBA) is the most basic approach and is based on a few simple assumptions in connection with linear programming.

In our work, we build genome-scale network reconstructions and develop computational approaches for identifying basic properties and engineering strategies.