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Nature Communications|March 23, 2019
A comprehensive, mechanistically detailed, and executable model of the cell division cycle in Saccharomyces cerevisiaeUlrike Münzner, Edda Klipp, Marcus KrantzGenome Informatics. International Conference on Genome Informatics|May 16, 2007
Prediction of enzyme kinetic parameters based on statistical learningSimon Borger, Wolfram Liebermeister, Edda KlippGenome Informatics. International Conference on Genome Informatics|November 15, 2011
G1 and G2 arrests in response to osmotic shock are robust properties of the budding yeast cell cycleChristian Waltermann, Max Floettmann, Edda KlippEntropy (Basel, Switzerland)|December 3, 2020
Information Thermodynamics for Time Series of Signal-Response ModelsAndrea Auconi, Andrea Giansanti, Edda KlippFrontiers in Physiology|July 4, 2012
A stochastic model of epigenetic dynamics in somatic cell reprogrammingMax Flöttmann, Till Scharp, Edda KlippBioinformatics (Oxford, England)|April 14, 2010
Modular rate laws for enzymatic reactions: thermodynamics, elasticities and implementationWolfram Liebermeister, Jannis Uhlendorf, Edda KlippIntegrative Biology : Quantitative Biosciences From Nano to Macro|July 21, 2015
Dynamic metabolic models in context: biomass backtrackingKatja Tummler, Clemens Kühn, Edda KlippGenome Informatics. International Conference on Genome Informatics|February 16, 2005
Inferring dynamic properties of biochemical reaction networks from structural knowledgeEdda Klipp, Wolfram Liebermeister, Christoph WierlingThe FEBS Journal|August 16, 2005
Biochemical network models simplified by balanced truncationWolfram Liebermeister, Ulrike Baur, Edda KlippJournal of Theoretical Biology|August 9, 2005
Alternative pathways as mechanism for the negative effects associated with overexpression of superoxide dismutaseAxel Kowald, Hans Lehrach, Edda KlippPageof 17