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Journal Article (84)

  1. 2013
    Journal Article
    Hädicke, O.; Lohr, V.; Genzel, Y.; Reichl, U.; Klamt, S.: Evaluating differences of metabolic performances: Statistical methods and their application to animal cell cultivations. Biotechnology and Bioengineering 110 (10), pp. 2633 - 2642 (2013)
  2. Journal Article
    Jungreuthmeyer, C.; Nair, G.; Klamt, S.; Zanghellini, J.: Comparison and improvement of algorithms for computing minimal cut sets. BMC Bioinformatics 14 (1), p. 318 (2013)
  3. Journal Article
    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), p. e1003204 (2013)
  4. Journal Article
    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, p. 73 (2013)
  5. Journal Article
    Samaga, R.; Klamt, S.: Modeling approaches for qualitative and semi-quantitative analysis of cellular signaling networks. Cell Communication and Signaling 11 (1), p. 43 (2013)
  6. 2012
    Journal Article
    Ballerstein, K.; von Kamp, A.; Klamt, S.; Haus, U.-U.: Minimal cut sets in metabolic networks are elementary modes in a dual network. Bioinformatics 28 (3), pp. 381 - 387 (2012)
  7. Journal Article
    Huard, J.; Mueller, S.; Gilles, E. D.; Klingmüller, U.; Klamt, S.: An integrative model links multiple inputs and signaling pathways to the onset of DNA synthesis in hepatocytes. FEBS Journal 279 (18), pp. 3290 - 3313 (2012)
  8. 2011
    Journal Article
    Hädicke, O.; Klamt, S.: Computing complex metabolic intervention strategies using constrained minimal cut sets. Metabolic Engineering 13 (2), pp. 204 - 213 (2011)
  9. Journal Article
    Hädicke, O.; Grammel, H.; Klamt, S.: Metabolic network modeling of redox balancing and biohydrogen production in purple nonsulfur bacteria. BMC Systems Biology 5, p. 150 (2011)
  10. Journal Article
    Klamt, S.; Kamp von, A.: An application programming interface for CellNetAnalyzer. Biosystems 105 (2), pp. 162 - 168 (2011)
  11. Journal Article
    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)
  12. 2010
    Journal Article
    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), p. 151 (2010)
  13. Journal Article
    Hädicke, O.; Klamt, S.: CASOP: a computational approach for strain optimization aiming at high productivity. Journal of Biotechnology 147 (2), pp. 88 - 101 (2010)
  14. Journal Article
    Klamt, S.; Flassig, R.; Sundmacher, K.: TRANSWESD: inferring cellular networks with transitive reduction. Bioinformatics 26 (17), pp. 2160 - 2168 (2010)
  15. Journal Article
    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)
  16. 2009
    Journal Article
    Klamt, S.; von Kamp, A.: Computing Paths and Cycles in Biological Interaction Graphs. BMC Bioinformatics 10, p. 181 (2009)
  17. Journal Article
    Klamt, S.; Haus, U.-U.; Theis, F.: Hypergraphs and cellular networks. PLoS Computational Biology 5 (5), p. e1000385 (2009)
  18. Journal Article
    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)
  19. Journal Article
    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)
  20. Journal Article
    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)
 
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