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dc.contributor.authorKremling, Andreas
dc.contributor.authorGoehler, Anna
dc.contributor.authorJahreis, Knut
dc.contributor.authorNees, Markus
dc.contributor.authorAuerbach, Benedikt
dc.contributor.authorSchmidt-Heck, Wolfgang
dc.contributor.authorKökpinar, Oznur
dc.contributor.authorGeffers, Robert
dc.contributor.authorRinas, Ursula
dc.contributor.authorBettenbrock, Katja
dc.date.accessioned2018-07-05T14:17:15Z
dc.date.available2018-07-05T14:17:15Z
dc.date.issued2012-11-12
dc.identifier.issn2218-1989
dc.identifier.pmid24957765
dc.identifier.doi10.3390/metabo2040844
dc.identifier.urihttp://hdl.handle.net/10033/621422
dc.description.abstractMetabolism and signalling are tightly coupled in bacteria. Combining several theoretical approaches, a core model is presented that describes transcriptional and allosteric control of glycolysis in Escherichia coli. Experimental data based on microarrays, signalling components and extracellular metabolites are used to estimate kinetic parameters. A newly designed strain was used that adjusts the incoming glucose flux into the system and allows a kinetic analysis. Based on the results, prediction for intracelluar metabolite concentrations over a broad range of the growth rate could be performed and compared with data from literature.en_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.titleAnalysis and Design of Stimulus Response Curves of E. coli.en_US
dc.typeArticleen_US
dc.contributor.departmentHelmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7, 38124 Braunschweig, Germany.en_US
refterms.dateFOA2018-07-05T14:17:16Z
dc.source.journaltitleMetabolites


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