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

04.04.2018: New Publication
Klamt S, Müller S, Regensburger J, Zanghellini J (2018) A mathematical framework for yield (vs. rate) optimization in constraint-based modeling and applications in metabolic engineering. Metabolic Engineering 47: 153-169.

15.03.2018: de.NBI-Workshop April 24-26, 2018 at the MPI
We are co-organizing a workshop about modeling and data exchange in systems biology (presented software tools: COPASI, CellNetAnalyzer, SEEK, SABIO-RK). More information and registration via the following website.

23.02.2018: New Publication
Klamt S, Mahadevan R, Hädicke O (2018) When Do Two-Stage Processes Outperform One-Stage Processes? Biotechnology Journal 3: 1700539.   

07.12.2017: New Publication
Harder B-J, Bettenbrock K, Klamt S (2018) Temperature-dependent dynamic control of the TCA cycle increases volumetric productivity of itaconic acid production by Escherichia coli. Biotechnology and Bioengineering 115: 156-164.

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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