Head of the Group

Dr.-Ing. Steffen Klamt
Dr.-Ing. Steffen Klamt
Phone: +49 391 6110 480
Fax: +49 391 6110 509
Room: S2.10

Secretary

Susanne Hintsch
Phone:+49 391 6110-477Fax:+49 391 6110-452

News / Latest Publications

28.08.2018: New Publication
Kyselova L, Kreitmayer D, Kremling A & Bettenbrock K (2018) Type and capacity of glucose transport influences succinate yield in two-stage cultivations. Microbial Cell Factories, 17: 132.

10.08.2018: New Publication
Mahour R, Klapproth J, Rexer TFT, Schildbach A, Klamt S, Pietzsch M, Rapp E, Reichl U (2018) Establishment of a five-enzyme cell-free cascade for the synthesis of uridine diphosphate N-acetylglucosamine. J Biotechnol. 283:120-129.

04.07.2018: Regina defended her PhD thesis.
Congratulations!

01.06.2018: New Publication
Bosch J, Klamt S, Stoll M (2018) Generalizing Diffuse Interface Methods on Graphs: Nonsmooth Potentials and Hypergraphs. SIAM J. Appl. Math. 78(3): 1350–1377.

28.04.2018: New Publication
Nitzschke A, Bettenbrock K (2018) All three quinone species play distinct roles in ensuring optimal growth under aerobic and fermentative conditions in E. coli K12. PLoS ONE 13(4): e0194699.

Research


We develop and employ various mathematical modeling techniques to under­stand the behavior of cellular systems and to study the relation­ships between structure and function of biomolecular networks. In collaboration with biological partners, we analyze metabolic and regulatory networks in bacteria as well as signaling networks in mam­malian cells.

Modeling and Analysis of Biological Networks

We develop and employ various mathematical modeling techniques to under­stand the behavior of cellular systems and to study the relation­ships between structure and function of biomolecular networks. In collaboration with biological partners, we analyze metabolic and regulatory networks in bacteria as well as signaling networks in mam­malian cells.

 


We develop and apply theoretical methods for the rational (re)design and targeted modification of cellular networks. One particular focus is computational strain design and its application in metabolic engineering and biotechnology.

Metabolic Engineering and Targeted Modification of Biological Networks

We develop and apply theoretical methods for the rational (re)design and targeted modification of cellular networks. One particular focus is computational strain design and its application in metabolic engineering and biotechnology.

 

Genes and proteins of regulatory and signaling networks are often known whereas many of their mutual interactions remain still undiscovered or are unclear. We develop methods for the reconstruction of cellular networks from experimental data.

Reverse Engineering and Network Inference

Genes and proteins of regulatory and signaling networks are often known whereas many of their mutual interactions remain still undiscovered or are unclear. We develop methods for the reconstruction of cellular networks from experimental data.

 

We develop scientific software for systems biology. Prominent examples are CellNetAnalyzer (a GUI-based MATLAB toolbox for biological network analysis) and ProMoT (modular modeling and visualization of cellular networks).

Development of Software: CellNetAnalyzer and Promot

We develop scientific software for systems biology. Prominent examples are CellNetAnalyzer (a GUI-based MATLAB toolbox for biological network analysis) and ProMoT (modular modeling and visualization of cellular networks).

 

We investigate the adaptation of E. coli to changing environments especially to changing nutrient and oxygen supply. Experiments are performed under controlled conditions in bioreactors and a multitude of analytical techniques are applied. We are closely collaborating with theoretical partners, e.g., in testing model-based strategies for metabolic engineering.

Experimental Systems Biology
(Team Bettenbrock)

We investigate the adaptation of E. coli to changing environments especially to changing nutrient and oxygen supply. Experiments are performed under controlled conditions in bioreactors and a multitude of analytical techniques are applied. We are closely collaborating with theoretical partners, e.g., in testing model-based strategies for metabolic engineering.
 
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