Theoretical Methods for Metabolic Modeling and Strain Design
We develop various mathematical and computational methods for modeling and rational design of metabolic networks with applications in metabolic engneering. We are also interested in mathematical modelling of microbial communities.


Applications of Model-Driven Metabolic Engineering
We combine new computational (dry-lab) and experimental (wet-lab) techniques to engineer microbial cell factories for the bio-based production of chemicals (e.g., itaconic acid, 2,3-butanediol). Experiments focus on E. coli as work horse in biotechnology, but other relevant production hosts are considered as well.


Experimental Systems Biology (Team Bettenbrock)
We use systems biology methods and various experimental techniques to elucidate metabolic and regulatory processes in E. coli which are often also crucial for biotechnological applications (e.g., adaptation to changing nutrient and oxygen concentrations).

Design and Optimization of Cell-free Production Systems
Our group develops algorithms for the computer-aided design and optimization of cell-free production systems and employs them with partners in concrete application examples.


Software packages CellNetAnalyzer and CNApy
We continually develop (and maintain) CellNetAnalyzer, a comprehensive MATLAB toolbox for the mathematical modeling and analysis of biological networks. CellNetAnalyzer is part of de.NBI and we offer extended user services including web tutorials and training workshops. More recently we have also started the development  of CNApy (CellNetAnalyzer for Python), a cross-platform desktop application written in Python for constraint-based analysis of metabolic networks.


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