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Genome Informatics. International Conference on Genome Informatics|May 16, 2007
SBMLmerge, a system for combining biochemical network modelsMarvin Schulz, Jannis Uhlendorf, Edda Klipp, et al.Biotechnology Journal|March 9, 2016
The MYpop toolbox: Putting yeast stress responses in cellular context on single cell and population scalesThomas Spiesser, Clemens Kühn, Marcus Krantz, et al.Current Genomics|March 11, 2022
Deep Hidden Physics Modeling of Cell Signaling NetworksMartin Seeger, James Longden, Edda Klipp, et al.Genome Informatics. International Conference on Genome Informatics|June 12, 2008
Automatically generated model of a metabolic networkSimon Borger, Wolfram Liebermeister, Jannis Uhlendorf, et al.The FEBS Journal|September 17, 2013
New types of experimental data shape the use of enzyme kinetics for dynamic network modelingKatja Tummler, Timo Lubitz, Max Schelker, et al.BMC Systems Biology|July 10, 2013
Reaction-contingency based bipartite Boolean modellingMax Flöttmann, Falko Krause, Edda Klipp, et al.Journal of Theoretical Biology|November 6, 2007
Drug-efficacy depends on the inhibitor type and the target position in a metabolic network--a systematic studySusanne Gerber, Heike Assmus, Barbara Bakker, et al.Genome Informatics. International Conference on Genome Informatics|November 15, 2011
A systems biology approach: modelling of Aquaporin-2 traffickingMartina Fröhlich, Peter M T Deen, Edda KlippThe FEBS Journal|August 4, 2006
A modelling approach to quantify dynamic crosstalk between the pheromone and the starvation pathway in baker's yeastJörg Schaber, Bente Kofahl, Axel Kowald, et al.BMC Bioinformatics|April 30, 2011
STSE: Spatio-Temporal Simulation Environment Dedicated to BiologySzymon Stoma, Martina Fröhlich, Susanne Gerber, et al.Pageof 17