Publications of S. Klamt

Erdrich, P.; Knoop, H.; Steuer, R.; Klamt, S.: Cyanobacterial biofuels: new insights and strain design strategies revealed by computational modeling. Microbial Cell Factories 13, 128 (2014)

Kamp von, A.; Klamt, S.: Enumeration of Smallest Intervention Strategies in Genome-Scale Metabolic Networks. PLoS Computational Biology 10 (1), e1003378 (2014)

Lohr, V.; Hädicke, O.; Genzel, Y.; Jordan, I.; Buentemeyer, H.; Klamt, S.; Reichl, U.: The avian cell line AGE1.CR.pIX characterized by metabolic flux analysis. BMC Biotechnology 14, 72 (2014)

Chaoiya, C.; Berenguier, D.; Keating, S. M.; Naldi, A.; van Iersel, M. P.; Rodriguez, N.; Dräger, A.; Büchel, F.; Cokelaer, T.; Kowal, B. et al.; Wicks, B.; Gonçalves, E.; Dorier, J.; Page, M.; Monteiro, P. T.; Kamp von, A.; Xenarius , I.; de Jong, H.; Hucka, M.; Klamt, S.; Thieffrey, D.; Le Novère, N.; Saez-Rodriguez, J.; Helikar, T.: SBML qualitative models: a model representation format and infrastructure to foster interactions between qualitative modelling formlisms and tools. BMC Systems Biology 7, 135 (2013)

Gonçalves, E.; Bucher, J.; Ryll, A.; Niklas, J.; Mauch, K.; Klamt, S.; Rocha, M.; Saez-Rodriguez, J.: Bridging the layers: towards integration of signal transduction, regulation and metabolism into mathematical models. Molecular BioSystems 9 (7), pp. 1576 - 1583 (2013)

Gruchattka, E.; Hädicke, O.; Klamt, S.; Schuetz, V.; Kayser , O.: In silico profiling of Escherichia coli and Saccharomyces cerevisiae as terpenoid factories. Microbial Cell Factories 12, 84 (2013)

Jungreuthmeyer, C.; Nair, G.; Klamt, S.; Zanghellini, J.: Comparison and improvement of algorithms for computing minimal cut sets. BMC Bioinformatics 14 (1), 318 (2013)

Melas, I. N.; Samaga, R.; Alexopoulos, L. G.; Klamt, S.: Detecting and Removing Inconsistencies between Experimental Data and Signaling Network Topologies Using Integer Linear Programming on Interaction Graphs. PLoS Computational Biology 9 (9), e1003204 (2013)

Pinna, A.; Heise, S.; Flassig, R.; de la Fuente, A.; Klamt, S.: Reconstruction of large-scale regulatory networks based on perturbation graphs and transitive reduction: improved methods and their evaluation. BMC Systems Biology 7, 73 (2013)

Samaga, R.; Klamt, S.: Modeling approaches for qualitative and semi-quantitative analysis of cellular signaling networks. Cell Communication and Signaling 11 (1), 43 (2013)

Hädicke, O.; Grammel, H.; Klamt, S.: Metabolic network modeling of redox balancing and biohydrogen production in purple nonsulfur bacteria. BMC Systems Biology 5, 150 (2011)

Ryll, A.; Samaga, R.; Schaper, F.; Alexopoulos, L.G.; Klamt, S.: Large-scale models of IL-1 and IL-6 signaling and their hepatocellular specification. Molecular BioSystems 7 (12), pp. 3253 - 3270 (2011)

Franke, R.; Theis, F.J.; Klamt, S.: From Binary to Multivalued to Continuous Models: The Iac Operon as a Case Study. Journal of Integrative Bioinformatics 7 (1), 151 (2010)

Klamt, S.; Flassig, R.; Sundmacher, K.: TRANSWESD: inferring cellular networks with transitive reduction. Bioinformatics 26 (17), pp. 2160 - 2168 (2010)

Samaga, R.; von Kamp, A.; Klamt, S.: Computing Combinatorial Intervention Strategies and Failure Modes in Signaling Networks. Journal of Computational Biology 17 (1), pp. 39 - 53 (2010)

Klamt, S.; Haus, U.-U.; Theis, F.: Hypergraphs and cellular networks. PLoS Computational Biology 5 (5), p. e1000385 (2009)

Klamt, S.; von Kamp, A.: Computing Paths and Cycles in Biological Interaction Graphs. BMC Bioinformatics 10, p. 181 (2009)

Poltz, R.; Franke, R.; Schweitzer, K.; Klamt, S.; Gilles, E. D.; Naumann, M.: Logical network of genotoxic stress-induced NF-kB signal transduction predicts putative target structures for therapeutic intervention strategies. Advances and Applications in Bioinformatics and Chemistry 2, pp. 125 - 138 (2009)

Saez-Rodriguez, J.; Alexopoulos, L. G.; Epperlein, J.; Samaga, R.; Lauffenburger, D. A.; Klamt, S.; Sorger, P. K.: Discrete logic modelling as a means to link protein signalling networks with functional analysis of mammalian signal transduction. Molecular Systems Biology 5, p. 331 (2009)

Samaga, R.; Saez-Rodriguez, J.; Alexopoulos, L. G.; Sorger, P. K.; Klamt, S.: The logic of EGFR/ErbB signaling: theoretical properties and analysis of high-throughput data. PLoS Computational Biology 5 (8), e1000438 (2009)