Head of the Group

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

Secretary

Anke Goettert
Phone: +49 391 6110 477
Fax: +49 391 6110 452

News / Latest Publications

11.05.2017: New Publication         
Zander D, Samaga, R, Straube R, Bettenbrock K. (2017) Bistability and Nonmonotonic Induction of the lac Operon in the Natural Lactose Uptake System. Biophysical Journal 112: 1984-1996.

09.05.2017: New Publication         
Klamt S, Regensburger G, Gerstl MP, Jungreuthmayer C, Schuster S, Mahadevan R, Zanghellini J, Müller S. (2017) From elementary flux modes to elementary flux vectors: Metabolic pathway analysis
with arbitrary linear flux constraints. PLoS Comput Biol 13: e1005409.

24.02.2017: New Publication         
Prigent S, Frioux C, Dittami SM, Thiele S,.....(2017) Meneco, a Topology-Based Gap-Filling Tool Applicable to Degraded Genome-Wide Metabolic Networks PLoS Comput Biol 13: e1005276.

10.01.2017: News     
We have open PhD and Postdoc positions in our group.

10.01.2017: New Publication        
Hädicke O, Klamt S (2017) EColiCore2: a reference model of the central metabolism of Escherichia coli and the relationships to its genome-scale parent model. Scientific Reports 7: 39647.

Analysis and Redesign of Biological Networks

Research Group:
Analysis and Redesign of Biological Networks

It is nowadays widely accepted that understanding the complexity of life at the cellular level requires mathematical tools. Consequently, interdisciplinary research fields such as Systems and Computational Biology have emerged. Along this line, the primary research interests of our group lie at the intersection of biology, mathematics, and engineering sciences and the group’s main goal is to obtain a network and systems view of the cell. We develop computational methods and tools for modeling, analysis, and data-driven inference of bio-molecular networks. From an engineer’s perspective, we are also interested in using models to calculate suitable intervention strategies that change the behavior of a cell towards a desired behavior.

In collaborations with experimental partners we study realistic cellular systems in an iterative cycle of wet and dry lab investigations. Application examples include the data-driven elucidation of signaling network topologies or the rational (re)design of bacterial metabolic networks towards bio-based production of certain chemicals. The group also has an experimental research team studying specific aspects of metabolic regulation and metabolic engineering in the model bacterium E. coli.

Overall, a long-term vision of the ARB group is to help pave the way for routine use of mathematical modeling and network analysis in biology, biotechnology, and biomedicine.

A detailed description of our research activities can be found here.

Keywords: Systems Biology, Computational Biology, Bioinformatics, Metabolic Engineering, Signal Transduction Networks, Metabolic Networks, Gene Regulatory Networks, Escherichia coli
 
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