Steffen Klamt

Zeitschriftenartikel (111)

1.
Zeitschriftenartikel
Bauer, J.; Klamt, S.: OptMSP: A Toolbox for Designing Optimal Multi-Stage (Bio)Processes. Journal of Biotechnology 383, S. 94 - 102 (2024)
2.
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Espinel-Rios, S.; Morabito, B.; Pohlodek, J.; Bettenbrock, K.; Klamt, S.; Findeisen, R.: Toward a modeling, optimization, and predictive control framework for fed-batch metabolic cybergenetics. Biotechnology and Bioengineering 121 (1), S. 366 - 379 (2024)
3.
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Huber, N.; Alcalá Orozco, E. A.; Rexer, T.; Reichl, U.; Klamt, S.: Model-based optimization of cell-free enzyme cascades exemplified for the production of GDP-fucose. Metabolic Engineering 81, S. 10 - 25 (2024)
4.
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Alcalá Orozco, E. A.; Grote, V.; Fiebig, T.; Klamt, S.; Reichl, U.; Rexer, T.: A Cell‐Free Multi‐enzyme Cascade Reaction for the Synthesis of CDP‐Glycerol. ChemBioChem: A European Journal of Chemical Biology 24 (21), e202300463 (2023)
5.
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Bekiaris, P. S.; Klamt, S.: Network-wide thermodynamic constraints shape NAD(P)H cofactor specificity of biochemical reactions. Nature Communications 14, 4660 (2023)
6.
Zeitschriftenartikel
Boecker, S.; Schulze, P.; Klamt, S.: Growth-coupled anaerobic production of isobutanol from glucose in minimal medium with Escherichia coli. Biotechnology for Biofuels and Bioproducts 16, 148 (2023)
7.
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Kamp von, A.; Klamt, S.: Balancing biomass reaction stoichiometry and measured fluxes in flux balance analysis. Bioinformatics 39 (10), btad600 (2023)
8.
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Wichmann, J.; Behrendt, G.; Boecker, S.; Klamt, S.: Characterizing and utilizing oxygen-dependent promoters for efficient dynamic metabolic engineering. Metabolic Engineering 77, S. 199 - 207 (2023)
9.
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Behrendt, G.; Frohwitter, J.; Vlachonikolou, M.; Klamt, S.; Bettenbrock, K.: Zymo-Parts: A Golden Gate Modular Cloning Toolbox for Heterologous Gene Expression in Zymomonas mobilis. ACS Synthetic Biology 11 (11), S. 3855 - 3864 (2022)
10.
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Boecker, S.; Espinel-Rios, S.; Bettenbrock, K.; Klamt, S.: Enabling anaerobic growth of Escherichia coli on glycerol in defined minimal medium using acetate as redox sink. Metabolic Engineering 73, S. 50 - 57 (2022)
11.
Zeitschriftenartikel
Espinel-Rios, S.; Bettenbrock, K.; Klamt, S.; Findeisen, R.: Maximizing batch fermentation efficiency by constrained model-based optimization and predictive control of adenosine triphosphate turnover. AIChE-Journal 68 (4), e17555 (2022)
12.
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Klamt, S.; Kamp von, A.: Analyzing and Resolving Infeasibility in Flux Balance Analysis of Metabolic Networks. Metabolites 12 (7), 585 (2022)
13.
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Mahour, R.; Lee, J. W.; Grimpe, P.; Boecker, S.; Grote, V.; Klamt, S.; Seidel-Morgenstern, A.; Rexer, T.; Reichl, U.: Cell‐free multi‐enzyme synthesis and purification of uridine diphosphate galactose. ChemBioChem 23 (2), e202100361 (2022)
14.
Zeitschriftenartikel
Schneider, P.; Bekiaris, P. S.; Kamp von, A.; Klamt, S.: StrainDesign: a Comprehensive Python Package for Computational Design of Metabolic Networks. Bioinformatics 38 (21), S. 4981 - 4983 (2022)
15.
Zeitschriftenartikel
Thiele, S.; Kamp von, A.; Bekiaris, P. S.; Schneider, P.; Klamt, S.: CNApy: a CellNetAnalyzer GUI in Python for Analyzing and Designing Metabolic Networks. Bioinformatics 38 (5), S. 1467 - 1469 (2022)
16.
Zeitschriftenartikel
Bekiaris, P. S.; Klamt, S.: Designing microbial communities to maximize the thermodynamic driving force for the production of chemicals. PLoS Computational Biology 17 (6), e1009093 (2021)
17.
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Boecker, S.; Harder, B.-J.; Kutscha, R.; Pflügl, S.; Klamt, S.: Increasing ATP turnover boosts productivity of 2,3-butanediol synthesis in Escherichia coli. Microbial Cell Factories 20, 63 (2021)
18.
Zeitschriftenartikel
Boecker, S.; Slaviero, G.; Schramm, T.; Szymanski, W.; Steuer , R.; Link, H.; Klamt, S.: Deciphering the physiological response of Escherichia coli under high ATP demand. Molecular Systems Biology 17, e10504 (2021)
19.
Zeitschriftenartikel
Novak, K.; Neuendorf, C. S.; Kofler, I.; Kieberger, N.; Klamt, S.; Pflügl, S.: Blending industrial blast furnace gas with H 2 enables Acetobacterium woodii to efficiently co-utilize CO, CO2 and H2. Bioresource Technology 323, 124573 (2021)
20.
Zeitschriftenartikel
Schneider, P.; Radhakrishnan, M.; Klamt, S.: Systematizing the different notions of growth-coupled product synthesis and a single framework for computing corresponding strain designs. Biotechnology Journal 16, 2100236 (2021)
21.
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Bekiaris, P. S.; Klamt, S.: Automatic construction of metabolic models with enzyme constraints. BMC Bioinformatics 21, 19 (2020)
22.
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Kamp von, A.; Klamt, S.: MEMO: A Method for Computing Metabolic Modules for Cell-Free Production Systems. ACS Synthetic Biology 9 (3), S. 556 - 566 (2020)
23.
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Klamt, S.; Mahadevan, R.; Kamp von, A.: Speeding up the core algorithm for the dual calculation of minimal cut sets in large metabolic networks. BMC Bioinformatics (21), 510 (2020)
24.
Zeitschriftenartikel
Lieven, C.; Beber, M. E.; Olivier, B. G.; Bergmann, F. T.; Ataman, M.; Babaei, P.; Bartell, J. A.; Blank, L. M.; Chauhan, S.; Correia, K. et al.; Diener, C.; Dräger, A.; Ebert, B. E.; Edirisinghe, J. N.; Faria, J. P.; Feist, A. M.; Fengos, G.; Fleming, R. M. T.; García-Jiménez, B.; Hatzimanikatis, V.; van Helvoirt, W.; Henry, C. S.; Hermjakob, H.; Herrgård, M. J.; Kaafarani, A.; Kim, H. U.; King, Z.; Klamt, S.; Klipp, E.; Koehorst, J. J.; König, M.; Lakshmanan, M.; Lee, D.-Y.; Lee, S. Y.; Lee, S.; Lewis, N. E.; Liu, F.; Ma, H.; Machado, D.; Mahadevan, R.; Maia, P.; Mardinoglu, A.; Medlock, G. L.; Monk, J. M.; Nielsen, J.; Nielsen, L. K.; Nogales, J.; Nookaew, I.; Palsson, B. O.; Papin, J. A.; Patil, K. R.; Poolman, M.; Price, N. D.; Resendis-Antonio, O.; Richelle, A.; Rocha, I.; Sánchez, B. J.; Schaap, P. J.; Malik Sheriff, R. S.; Shoaie, S.; Sonnenschein, N.; Teusink, B.; Vilaça, P.; Vik, J. O.; Wodke, J. A. H.; Xavier, J. C.; Yuan, Q.; Zakhartsev, M.; Zhang, C.: MEMOTE for standardized genome-scale metabolic model testing. Nature Biotechnology 38, S. 272 - 276 (2020)
25.
Zeitschriftenartikel
Schneider, P.; Kamp von, A.; Klamt, S.: An extended and generalized framework for the calculation of metabolic intervention strategies based on minimal cut sets. PLoS Computational Biology 16 (7), e1008110 (2020)
26.
Zeitschriftenartikel
Zahoor, A.; Messerschmidt, K.; Boecker, S.; Klamt, S.: ATPase-based implementation of enforced ATP wasting in Saccharomyces cerevisiae for improved ethanol production. Biotechnology for Biofuels (13), 185 (2020)
27.
Zeitschriftenartikel
Boecker, S.; Zahoor, A.; Schramm, T.; Link, H.; Klamt, S.: Broadening the Scope of Enforced ATP Wasting as a Tool for Metabolic Engineering in Escherichia coli. Biotechnology Journal 14 (9), 1800438 (2019)
28.
Zeitschriftenartikel
Klamt, S.; Kamp von, A.; Harder, B.-J.: Computergestütztes Design mikrobieller Zellfabriken. Biospektrum 25 (2), S. 156 - 158 (2019)
29.
Zeitschriftenartikel
Koch, S.; Kohrs, F.; Lahmann, P.; Bissinger, T.; Wendschuh, S.; Benndorf, D.; Reichl, U.; Klamt, S.: RedCom: A strategy for reduced metabolic modeling of complex microbial communities and its application for analyzing experimental datasets from anaerobic digestion. PLoS Computational Biology 15 (2), e1006759 (2019)
30.
Zeitschriftenartikel
Schneider, P.; Klamt, S.: Characterizing and Ranking Computed Metabolic Engineering Strategies. Bioinformatics 35 (17), S. 3063 - 3072 (2019)
31.
Zeitschriftenartikel
Thiele, S.; Heise, S.; Hessenkemper, W.; Bongartz, H.; Fensky, M.; Schaper, F.; Klamt, S.: Designing optimal experiments to discriminate interaction graph models. IEEE ACM Transactions on Computational Biology and Bioinformatics 16 (3), S. 925 - 935 (2019)
32.
Zeitschriftenartikel
Weinrich, S.; Koch, S.; Bonk, F.; Popp, D.; Benndorf, D.; Klamt, S.; Centler, F.: Augmenting Biogas Process Modeling by Resolving Intracellular Metabolic Activity. Frontiers in Microbiology 10, 1095 (2019)
33.
Zeitschriftenartikel
Bosch, J.; Klamt, S.; Stoll, M.: Generalizing diffuse interface methods on graphs: non-smooth potentials and hypergraphs. SIAM Journal on Applied Mathematics 78 (3), S. 1350 - 1377 (2018)
34.
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Hädicke, O.; Kamp von, A.; Aydogan, T.; Klamt, S.: 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 14 (9), e1006492 (2018)
35.
Zeitschriftenartikel
Harder, B.-J.; Bettenbrock, K.; Klamt, S.: Temperature-dependent dynamic control of the TCA cycle increases volumetric productivity of itaconic acid production by Escherichia coli. Biotechnology and Bioengineering 115 (1), S. 156 - 164 (2018)
36.
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Klamt, S.; Mahadevan, R.; Hädicke, O.: When do two-stage processes outperform one-stage processes? Biotechnology Journal 13 (2), 1700539 (2018)
37.
Zeitschriftenartikel
Klamt, S.; Müller, S.; Regensburger, G.; Zanghellini, J.: A mathematical framework for yield (versus rate) optimization in constraint-based modeling and applications in metabolic engineering. Metabolic Engineering 47, S. 153 - 169 (2018)
38.
Zeitschriftenartikel
Mahour, R.; Klapproth, J.; Rexer, T.; Schildbach, A.; Klamt, S.; Pietzsch, M.; Rapp, E.; Reichl, U.: Establishment of a five-enzyme cell-free cascade for the synthesis of uridine diphosphate N-acetylglucosamine. Journal of Biotechnology 283, S. 120 - 129 (2018)
39.
Zeitschriftenartikel
Venayak, N.; Kamp von, A.; Klamt, S.; Mahadevan, R.: MoVE identifies metabolic valves to switch between phenotypic states. Nature Communications 9, 5332 (2018)
40.
Zeitschriftenartikel
Hädicke, O.; Klamt, S.: EColiCore2: a reference model of the central metabolism of Escherichia coli and the relationships to its genome-scale parent model. Scientific Reports 7, 39647 (2017)
41.
Zeitschriftenartikel
Kamp von, A.; Klamt, S.: Growth-coupled overproduction is feasible for almost all metabolites in five major production organisms. Nature Communications 8, 15926 (2017)
42.
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Kamp von, A.; Thiele, S.; Hädicke, O.; Klamt, S.: Use of CellNetAnalyzer in biotechnology and metabolic engineering. Journal of Biotechnology 261, S. 221 - 228 (2017)
43.
Zeitschriftenartikel
Klamt, S.; Regensburger, G.; Gerstl, P.M.; Jungreuthmayer, C.; Schuster, S.; Mahadevan, R.; Zanghellini, J.; Müller, S.: From elementary flux modes to elementary flux vectors: Metabolic pathway analysis with arbitrary linear flux constraints. PLoS Computational Biology 13 (4), e1005409 (2017)
44.
Zeitschriftenartikel
Gerstl, M. P.; Klamt, S.; Jungreuthmayer, C.; Zanghellini, J.: Exact quantification of cellular robustness in genome-scale metabolic networks. Bioinformatics 32 (5), S. 730 - 737 (2016)
45.
Zeitschriftenartikel
Harder, B.-J.; Bettenbrock, K.; Klamt, S.: Model-Based metabolic engineering enables high yield itaconic acid production by Escherichia coli. Metabolic Engineering 38, S. 29 - 37 (2016)
46.
Zeitschriftenartikel
Koch, S.; Benndorf, D.; Fronk, K.; Reichl, U.; Klamt, S.: Predicting compositions of microbial communities from stoichiometric models with applications for the biogas process. Biotechnology for Biofuels 9, 17 (2016)
47.
Zeitschriftenartikel
Ud-Dean, S.; Heise, S.; Klamt, S.; Gunawan, R.: TRaCE+: Ensemble inference of gene regulatory networks from transcriptional expression profiles of gene knock-out experiments. BMC Bioinformatics 17 (17), 252 (2016)
48.
Zeitschriftenartikel
Wu, H.; Kamp von, A.; Leoncikas, V.; Mori, W.; Sahin, M.; Gevorgyan, A.; Linley, C.; Grabowski, M.; Mannan, A. A.; Stoy, N. et al.; Steward, G. R.; Ward, L. T.; Lewis, D.J.M.; Sroca, J.; Matsuno, H.; Klamt, S.; Westerhoff, H.V.; McFadden, J.; Plant, N.J.; Kierzek, A.M.: MUFINS: multi-formalism interaction network simulator. npj Systems Biology and Applications 2, 16032 (2016)
49.
Zeitschriftenartikel
Bastiaens, P. I.H.; Birtwistle, M.; Blüthgen, N.; Bruggeman, F.; Cho, K.-H.; de la Fuente, A.; Hoek, J.; Kiyatkin, A.; Klamt, S.; Kolch, W. et al.; Legewie, S.; Mendes, P.; Naka, T.; Santra, T.; Sontag, E.; Westerhoff, H.; Kholodenko, B.: Silence on the relevant literature and errors in implementation. Nature Biotechnology 33 (4), S. 336 - 339 (2015)
50.
Zeitschriftenartikel
D`Allessandro, L. A.; Samaga, R.; Maiwald, T.; Rho, S.-H.; Bonefas, S.; Raue, A.; Iwamoto, N.; Kienast, A.; Waldow, K.; Meyer, R. et al.; Schilling, M.; Timmer, J.; Klamt, S.; Klingmüller, U.: Disentangling the Complexity of HGF Signaling by Combining Qualitative and Quantitative Modeling. PLoS Computational Biology 11 (4), e1004192 (2015)
51.
Zeitschriftenartikel
Erdrich, P.; Steuer, R.; Klamt, S.: An algorithm for the reduction of genome-scale metabolic network models to meaningful core models. BMC Systems Biology 9, 48 (2015)
52.
Zeitschriftenartikel
Hädicke, O.; Bettenbrock, K.; Klamt, S.: Enforced ATP futile cycling increases specific productivity and yield of anaerobic lactate production in Escherichia coli. Biotechnology and Bioengineering 112 (10), S. 2195 - 2199 (2015)
53.
Zeitschriftenartikel
Hädicke, O.; Klamt, S.: Manipulation of the ATP pool as a tool for metabolic engineering. Biochemical Society Transactions (London) 43 (6), S. 1140 - 1145 (2015)
54.
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Klamt, S.; Mahadevan, R.: On the feasibility of growth-coupled product synthesis in microbial strains. Metabolic Engineering 30, S. 166 - 178 (2015)
55.
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Mahadevan, R.; Kamp von, A.; Klamt, S.: Genome-scale strain designs based on regulatory minimal cut sets. Bioinformatics 31 (17), S. 2844 - 2851 (2015)
56.
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Michailidou, M.; Melas, I.; Messinis, D.; Klamt, S.; Alexopoulos, L.; Kolisis, F.; Loutrari, H.: Network-Based Analysis of Nutraceuticals in Human Hepatocellular Carcinomas Reveals Mechanisms of Chemopreventive Action. CPT: Pharmacometrics & Systems Pharmacology 4 (6), S. 350 - 361 (2015)
57.
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Mueller, S.; Huard, J.; Waldow, K.; Huang, X.; D'Alessandro, L.; Bohl, S.; Börner, K.; Grimm, D.; Klamt, S.; Klingmüller, U. et al.; Schilling, M.: T160‐phosphorylated CDK2 defines threshold for HGF‐dependent proliferation in primary hepatocytes. Molecular Systems Biology 11, 795 (2015)
58.
Zeitschriftenartikel
Thiele, S.; Cerone, L.; Saez-Rodriguez, J.; Siegel, A.; Guciolowski, C.; Klamt, S.: Extended notions of sign consistency to relate experimental data to signaling and regulatory network topologies. BMC Bioinformatics 16 (1), 345 (2015)
59.
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Wiechert, W.; Klamt, S.: Computational Systems Biology — neues Fach in den Lebenswissenschaften. Biospektrum 21 (1), S. 46 - 48 (2015)
60.
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Erdrich, P.; Knoop, H.; Steuer, R.; Klamt, S.: Cyanobacterial biofuels: new insights and strain design strategies revealed by computational modeling. Microbial Cell Factories 13, S. 128 - 128 (2014)
61.
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Kamp von, A.; Klamt, S.: Enumeration of Smallest Intervention Strategies in Genome-Scale Metabolic Networks. PLoS Computational Biology 10 (1), e1003378 (2014)
62.
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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, S. 72 (2014)
63.
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Ryll, A.; Bucher, J.; Bonin, A.; Bongard, S.; Gonçalves , E.; Saez- Roidriguez, J.; Niklas, J.; Klamt, S.: A model integration approach linking signalling and gene-regulatory logic with kinetic metabolic models. Biosystems 124, S. 26 - 38 (2014)
64.
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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, S. 135 (2013)
65.
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Flassig, R.; Heise, S.; Sundmacher, K.; Klamt, S.: An effective framework for reconstructing gene regulatory networks from genetical genomics data. Bioinformatics 29 (2), S. 246 - 254 (2013)
66.
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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), S. 1576 - 1583 (2013)
67.
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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)
68.
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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), S. 2633 - 2642 (2013)
69.
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Jungreuthmeyer, C.; Nair, G.; Klamt, S.; Zanghellini, J.: Comparison and improvement of algorithms for computing minimal cut sets. BMC Bioinformatics 14 (1), S. 318 (2013)
70.
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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), S. e1003204 (2013)
71.
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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, S. 73 (2013)
72.
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Samaga, R.; Klamt, S.: Modeling approaches for qualitative and semi-quantitative analysis of cellular signaling networks. Cell Communication and Signaling 11 (1), S. 43 (2013)
73.
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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), S. 381 - 387 (2012)
74.
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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), S. 3290 - 3313 (2012)
75.
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Hädicke, O.; Grammel, H.; Klamt, S.: Metabolic network modeling of redox balancing and biohydrogen production in purple nonsulfur bacteria. BMC Systems Biology 5, S. 150 (2011)
76.
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Hädicke, O.; Klamt, S.: Computing complex metabolic intervention strategies using constrained minimal cut sets. Metabolic Engineering 13 (2), S. 204 - 213 (2011)
77.
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Klamt, S.; Kamp von, A.: An application programming interface for CellNetAnalyzer. Biosystems 105 (2), S. 162 - 168 (2011)
78.
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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), S. 3253 - 3270 (2011)
79.
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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), S. 151 (2010)
80.
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Hädicke, O.; Klamt, S.: CASOP: a computational approach for strain optimization aiming at high productivity. Journal of Biotechnology 147 (2), S. 88 - 101 (2010)
81.
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Klamt, S.; Flassig, R.; Sundmacher, K.: TRANSWESD: inferring cellular networks with transitive reduction. Bioinformatics 26 (17), S. 2160 - 2168 (2010)
82.
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Samaga, R.; von Kamp, A.; Klamt, S.: Computing Combinatorial Intervention Strategies and Failure Modes in Signaling Networks. Journal of Computational Biology 17 (1), S. 39 - 53 (2010)
83.
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Klamt, S.; Haus, U.-U.; Theis, F.: Hypergraphs and cellular networks. PLoS Computational Biology 5 (5), S. e1000385 (2009)
84.
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Klamt, S.; von Kamp, A.: Computing Paths and Cycles in Biological Interaction Graphs. BMC Bioinformatics 10, S. 181 (2009)
85.
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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, S. 125 - 138 (2009)
86.
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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, S. 331 (2009)
87.
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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.
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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.
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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.
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Haus, U.-U.; Klamt, S.; Stephen, T.: Computing knock-out strategies in metabolic networks. Journal of Computational Biology 15 (3), S. 259 - 268 (2008)
91.
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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.
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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), S. 80 - 93 (2008)
93.
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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.
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Klamt, S.; Saez-Rodriguez, J.; Gilles, E. D.: Structural and functional analysis of cellular networks with CellNetAnalyzer. BMC Systems Biology 1, 2 (2007)
95.
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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.
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Klamt, S.: Generalized concept of minimal cut sets in biochmical networks. Biosystems 83 (2-3 ), S. 233 - 247 (2006)
97.
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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, S. 56 (2006)
98.
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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.
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Klamt, S.; Gagneur, J.; von Kamp, A.: Algorithmic approaches for computing elementary modes in large biochemical reaction networks. IEE Proceedings - Systems Biology 152 (4), S. 249 - 255 (2005)
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