Publications of S. Klamt

Journal Article (111)

81.
Journal Article
Klamt, S.; Flassig, R.; Sundmacher, K.: TRANSWESD: inferring cellular networks with transitive reduction. Bioinformatics 26 (17), pp. 2160 - 2168 (2010)
82.
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)
83.
Journal Article
Klamt, S.; Haus, U.-U.; Theis, F.: Hypergraphs and cellular networks. PLoS Computational Biology 5 (5), p. e1000385 (2009)
84.
Journal Article
Klamt, S.; von Kamp, A.: Computing Paths and Cycles in Biological Interaction Graphs. BMC Bioinformatics 10, p. 181 (2009)
85.
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)
86.
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)
87.
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)
88.
Journal Article
Wittmann, D. M.; Krumsiek, J.; Saez, J.; Lauffenburger, D. A.; Klamt, S.; Theis, F.: Transforming Boolean models to continuous models: methodology and application to T-cell receptor signaling. BMC Systems Biology 3, 98 (2009)
89.
Journal Article
Franke, R.; Mueller, M.; Wundrack, N.; Gilles, E. D.; Klamt, S.; Kaehne, T.; Naumann, M.: Host-pathogen systems biology: Logical modelling of hepatocyte growth factor and Helicobacter pylori induced c-Met signal transduction. BMC Systems Biology 2, 4 (2008)
90.
Journal Article
Haus, U.-U.; Klamt, S.; Stephen, T.: Computing knock-out strategies in metabolic networks. Journal of Computational Biology 15 (3), pp. 259 - 268 (2008)
91.
Journal Article
Klamt, S.; Grammel, H.; Straube, R.; Ghosh, R.; Gilles, E. D.: Modeling the electron transport chain of purple non-sulfur bacteria. Molecular Systems Biology 4, 156 (2008)
92.
Journal Article
Saez-Rodriguez, J.; Hammerle-Fickinger, A.; Dalal, O.; Klamt, S.; Gilles, E. D.; Conradi, C.: Multistability of signal transduction motifs. IET Systems Biology 2 (2), pp. 80 - 93 (2008)
93.
Journal Article
Beste, D. J.; Hooper, T.; Stewart, G.; Bonde, B.; Avignone-Rossa, C.; Bushell, M. E.; Wheeler, P.; Klamt, S.; Kierzek, A. M.; McFadden, J.: GSMN-TB: a web-based genome-scale network model of Mycobacterium tuberculosis metabolism. Genome Biology 8, R89 (2007)
94.
Journal Article
Klamt, S.; Saez-Rodriguez, J.; Gilles, E. D.: Structural and functional analysis of cellular networks with CellNetAnalyzer. BMC Systems Biology 1, 2 (2007)
95.
Journal Article
Saez-Rodriguez, J.; Simeoni, L.; Lindquist, J.; Hemenway, R.; Bommhardt, U.; Arndt, B.; Haus, U. U.; Weismantel, R.; Gilles, E. D.; Klamt, S. et al.; Schraven, B.: A logical model provides insights into T cell receptor signaling. PLoS Computational Biology 3, e163 (2007)
96.
Journal Article
Klamt, S.: Generalized concept of minimal cut sets in biochmical networks. Biosystems 83 (2-3 ), pp. 233 - 247 (2006)
97.
Journal Article
Klamt, S.; Saez-Rodriguez, J.; Lindquist, J.; Simeoni, L.; Gilles, E. D.: A methodology for the structural and functional analysis of signaling and regulatory networks. BMC Bioinformatics 7, p. 56 (2006)
98.
Journal Article
Saez-Rodriguez, J.; Mirschel, S.; Hemenway, R.; Klamt, S.; Gilles, E. D.; Ginkel, M.: Visual set-up of logical models of signaling and regulatory networks with ProMoT. BMC Bioinformatics 7, 506 (2006)
99.
Journal Article
Klamt, S.; Gagneur, J.; von Kamp, A.: Algorithmic approaches for computing elementary modes in large biochemical reaction networks. IEE Proceedings - Systems Biology 152 (4), pp. 249 - 255 (2005)
100.
Journal Article
Gagneur, J.; Klamt, S.: Computation of elementary modes: a unifying framework and the new binary approach. BMC Bioinformatics 5, 175 (2004)
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