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
Email:sek-arb@...

News / Latest Publications

05.06.2019: New Publication
Thiele S, Heise S, Hessenkemper W, Bongartz H, Fensky M, Schaper F, Klamt S (2019) Designing Optimal Experiments to Discriminate Interaction Graph Models. IEEE/ACM Transactions on Computational Biology and Bioinformatics 16: 925-935.

05.06.2019: New Publication
Weinrich S, Koch S, Bonk F, Popp D, Benndorf D, Klamt S, Centler F (2019) Augmenting Biogas Process Modeling by Resolving Intracellular Metabolic Activity. Frontiers in Microbiology 10:1095.

03.04.2019: New Publication
Klamt S, von Kamp A, Harder B-J (2019) Computergestütztes Design mikrobieller Zellfabriken. BIOspektrum 25:156-158.

19.02.2019: CellNetAnalyzer version 2019.1 released!
Among many new features, CNA has a new (open-source) license. See

19.02.2019: New Publication
Koch S, Kohrs F, Lahmann P, Bissinger T, Wendschuh S, Benndorf D, Reichl U, Klamt S (2019) RedCom: A strategy for reduced metabolic modeling of complex microbial communities and its application for analyzing experimental datasets from anaerobic digestion. PLoS Computational Biology 15(2): e1006759.

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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