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.


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 the analysis and targeted modification of metabolic networks based on stoichiometric and constraint-based modeling approaches:

  • Analysis of solution spaces arising in stoichiometric modeling and flux balance analysis of metabolic networks.
  • Theory of elementary flux modes and of elementary flux vectors for metabolic pathway analysis.
  • Theory of minimal cut sets for targeted (re)design of metabolic networks.
  • Theory of growth-coupled product synthesis.
  • Thermodynamic constraints in metabolic pathway analysis and design.
  • Methods for reduction of genome-scale metabolic networks to core models.
  • Methods for constraint-based modeling of microbial communities.

We have also been developing various tools and methods for qualitative and semi-quantitative modeling of signaling and regulatory networks based on interaction graphs, logical networks, and logic-based ODEs and used them to analyze large-scale mammalian signaling networks.

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