Theoretical Systems Biology
Christoph Kaleta (Group Leader)
The Kaleta lab has expertise in the integrative analysis of large-scale OMICs datasets in the context of metabolic networks. Main areas of work include the reconstruction of metabolic networks of prokaryotic and eukaryotic organisms, analysis of proteomic as well as transcriptomic datasets using tools from constraint-based modeling as well as dynamic optimization, the identification of novel metabolic pathways and the inference of transcriptional networks from expression data.
For more information see the homepage of the research group Theoretical Systems Biology (http://tsb.uni-jena.de) of the University of Jena.
Gebauer J, Schuster S, de Figueiredo LF, Kaleta C:
Detecting and investigating substrate cycles in a genome-scale human metabolic network.
Schäuble S, Klement K, Marthandan S, Münch S, Heiland I, Schuster S, Hemmerich P, Diekmann S:
Quantitative model of cell cycle arrest and cellular senescence in primary human fibroblasts.
Wessely F, Bartl M, Guthke R, Li P, Schuster S, Kaleta C:
Optimal regulatory strategies for metabolic pathways in Escherichia coli depending on protein costs.
Mol Syst Biol.
Kaleta C, de Figueiredo LF, Werner S, Guthke R, Ristow M, Schuster S:
In silico evidence for gluconeogenesis from fatty acids in humans.
PLoS Comput Biol.
Kaleta C, de Figueiredo LF, Schuster S:
Can the whole be less than the sum of its parts? Pathway analysis in genome-scale metabolic networks using elementary flux patterns.