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

28.09.2018: 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.
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.

Research


We develop various mathematical approaches to analyze cellular networks. One particular focus is theoretical and compu­ta­tio­nal methods for modeling and targeted modification of metabolic networks. We are also interested in mathematical modelling of microbial communities.

Theoretical Methods for Metabolic Modeling and Design

We develop various mathematical approaches to analyze cellular networks. One particular focus is theoretical and compu­ta­tio­nal methods for modeling and targeted modification of metabolic networks. We are also interested in mathematical modelling of microbial communities.

 


We combine computational (dry-lab) and genetic (wet-lab) techniques to test and establish new metabolic engineering strategies to develop microbial cell factories for the bio-based production of chemicals. As relevant host organism we focus on E. coli and, more recently, also on yeast (S. cerevisiae).

Applications of Model-Driven Metabolic Engineering

We combine computational (dry-lab) and genetic (wet-lab) techniques to test and establish new metabolic engineering strategies to develop microbial cell factories for the bio-based production of chemicals. As relevant host organism we focus on E. coli and, more recently, also on yeast (S. cerevisiae).

 

We use systems biology methods and various experimental techniques to elucidate metabolic and regulatory processes in  E. coli  which are often also crucial for biotechnological applications (e.g., adaptation to changing nutrient and oxygen concentrations).

Experimental Systems Biology
(Team Bettenbrock)

We use systems biology methods and various experimental techniques to elucidate metabolic and regulatory processes in E. coli which are often also crucial for biotechnological applications (e.g., adaptation to changing nutrient and oxygen concentrations).

Genes and proteins of regulatory and signaling networks are often known whereas many of their mutual interactions remain still undiscovered or are unclear. Our group develops and applies novel algorithms for the computer-aided identification of cellular signaling and gene regulatory networks from experimental data.

Data-driven Inference of Cellular Networks

Genes and proteins of regulatory and signaling networks are often known whereas many of their mutual interactions remain still undiscovered or are unclear. Our group develops and applies novel algorithms for the computer-aided identification of cellular signaling and gene regulatory networks from experimental data.

 

We continually develop (and maintain) CellNetAnalyzer, a comprehensive MATLAB toolbox for the mathematical modeling and analysis of biological networks. CellNetAnalyzer is part of de.NBI and we offer extended user services including web tutorials and training workshops.

Software CellNetAnalyzer

We continually develop (and maintain) CellNetAnalyzer, a comprehensive MATLAB toolbox for the mathematical modeling and analysis of biological networks. CellNetAnalyzer is part of de.NBI and we offer extended user services including web tutorials and training workshops.

 

 
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