biostudies-otherUnknown587Kieran SmallboneFEBS letters2832-2841https://www.ebi.ac.uk/biostudies/studies/MODEL1303260011biostudies-other23831062Kieran SmallbonefalseSmallbone2013 - Glycolysis in S.cerevisiae - Iteration 11<notes xmlns="http://www.sbml.org/sbml/level2/version4"> <body xmlns="http://www.w3.org/1999/xhtml"> <div class="dc:title">Smallbone2013 - Glycolysis in S.cerevisiae - Iteration 11</div> <div class="dc:bibliographicCitation"> <p>This model is described in the article:</p> <div class="bibo:title"> <a href="http://identifiers.org/pubmed/[PMID]" title="Access to this publication">A model of yeast glycolysis based on a consistent kinetic characterization of all its enzymes</a> </div> <div class="bibo:authorList">Kieran Smallbone, Hanan L. Messiha, Kathleen M. Carroll, Catherine L. Winder, Naglis Malys, Warwick B. Dunn, Ettore Murabito, Neil Swainston, Joseph O. Dada, Farid Khan, Pınar Pir, Evangelos Simeonidis, Irena Spasić, Jill Wishart, Dieter Weichart, Neil W. Hayes, Daniel Jameson, David S. Broomhead, Stephen G. Oliver, Simon J. Gaskell, John E.G. McCarthy, Norman W. Paton, Hans V. Westerhoff, Douglas B. Kell, Pedro Mendes</div> <div class="bibo:Journal">FEBS Letters <em>(in press)</em> </div> <p>Abstract:</p> <div class="bibo:abstract"> <p>We present an experimental and computational pipeline for the generation of kinetic models of metabolism, and demonstrate its application to glycolysis in Saccharomyces cerevisiae. Starting from an approximate mathematical model, we employ a “cycle of knowledge” strategy, identifying the steps with most control over flux. Kinetic parameters of the individual isoenzymes within these steps are measured experimentally under a standardised set of conditions. Experimental strategies are applied to establish a set of in vivo concentrations for isoenzymes and metabolites. The data are integrated into a mathematical model that is used to predict a new set of metabolite concentrations and reevaluate the control properties of the system. This bottom-up modelling study reveals that control over the metabolic network most directly involved in yeast glycolysis is more widely distributed than previously thought.</p> </div> </div> <div class="dc:publisher"> <p>This model is hosted on <a href="http://www.ebi.ac.uk/biomodels/">BioModels Database</a> and identifiedby: <a href="http://identifiers.org/biomodels.db/MODEL1303260011">MODEL1303260011</a> . </p> <p>To cite BioModels Database, please use: <a href="http://identifiers.org/pubmed/20587024" title="Latest BioModels Database publication">BioModels Database: An enhanced, curated and annotated resourcefor published quantitative kinetic models</a> . </p></div><div class="dc:license"> <p>To the extent possible under law, all copyright and related orneighbouring rights to this encoded model have been dedicated to the publicdomain worldwide. Please refer to <a href="http://creativecommons.org/publicdomain/zero/1.0/" title="Access to: CC0 1.0 Universal (CC0 1.0), Public Domain Dedication">CC0 Public DomainDedication</a> for more information. </p></div></body></notes>2013-03-26T00:00:00Z2025-07-15T09:26:21.897Z2025-03-30T21:31:24.104ZMODEL1303260011

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