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


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.

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.

Analysis and Redesign of Biological Networks

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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
The ARB-research group.
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