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

07.11.2018: Björn defended his PhD thesis.

28.09.2018: New Publication
Hädicke O, von Kamp A, Aydogan T, Klamt S (2018) OptMDFpathway: Identification of metabolic pathways with maximal thermodynamic driving force and its application for analyzing the endogenous CO2 fixation potential of Escherichia coli. PLoS Computational Biology 13:e1006492.

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.

Analysis and Redesign of Biological Networks

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Research Group:
Analysis and Redesign of Biological Networks

Our research lies at the intersection of (micro)biology, infor­ma­tics, mathematics and engineering sciences. We develop and apply methods from systems and computational biology and combine dry-lab and wet-lab investigations to infer, analyze and rationally modify cellular (biomolecular) networks.

One central research direction is methods for modeling and computational design of metabolic networks and their use to engineer microbial cell factories for biotechnological applications. Other important research areas include systems analysis of microbial communities, data-driven inference of signaling and regulatory networks, and the development of a comprehensive MATLAB toolbox for the computer-aided analysis of biological networks (CellNetAnalyzer).

Wet-lab investigations are based on various genetic and experimental tech­niques and are used to verify model predictions but also to study further aspects of metabolic and regulatory processes in E. coli and other microorganisms.

A long-term vision of the ARB group is to help pave the way for routine use of advanced mathematical modeling approaches in (micro)biology, biotechnology, and biomedicine.

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

Keywords: Systems biology, Computational biology, Bioinformatics, Metabolic engineering, Systems biotechnology, Metabolic networks, Gene regulatory and signaling networks, Escherichia coli

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