We develop various mathematical and computational methods for modeling and rational design of biomolecular networks with a particular focus on metabolic networks in microorganisms. With CellNetAnalyzer and CNApy we also develop comprehensive and user-friendly (GUI-based) software packages in MATLAB and Python for metabolic network analysis.

We develop and use a variety of experimental, analytical and genetic techniques to elucidate and manipulate the metabolism in microorganisms. The focus is on E. coli as model organism, but other biotechnologically relevant production organisms (e.g. Zymomonas mobilis) are also investigated.

We combine computational strain design methods and genetic engineering techniques (from research areas 1 and 2) to establish new strategies for the metabolic engineering of efficient microbial cell factories for the synthesis of selected chemicals.

In addition to direct (static) genetic modifications in the metabolism of the used production host, we also aim to optimize bioproduction processes at the process level. This includes, for example, the use of two-stage (vs. one-stage) processes or the use of external signals to adjust the cellular metabolism during the process. We are also interested in the optimization of production processes based on cell-free enzyme cascades.