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A model of yeast glycolysis based on a consistent kinetic characterisation of all its enzymes
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(2013) A model of yeast glycolysis based on a consistent kinetic characterisation of all its enzymes. FEBS Letters, Volume 587 (Number 17). pp. 2832-2841. doi:10.1016/j.febslet.2013.06.043
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Official URL: http://dx.doi.org/10.1016/j.febslet.2013.06.043
Abstract
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.
| Item Type: | Journal Article | ||||
|---|---|---|---|---|---|
| Subjects: | Q Science > QH Natural history > QH301 Biology | ||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) | ||||
| Library of Congress Subject Headings (LCSH): | Saccharomyces cerevisiae , Metabolism , Glycolysis , Enzyme kinetics | ||||
| Journal or Publication Title: | FEBS Letters | ||||
| Publisher: | Elsevier BV | ||||
| ISSN: | 0014-5793 | ||||
| Official Date: | 2013 | ||||
| Dates: |
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| Volume: | Volume 587 | ||||
| Number: | Number 17 | ||||
| Page Range: | pp. 2832-2841 | ||||
| DOI: | 10.1016/j.febslet.2013.06.043 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Open Access | ||||
| Funder: | Biotechnology and Biological Sciences Research Council (Great Britain) (BBSRC), Engineering and Physical Sciences Research Council (EPSRC), University of Manchester. Manchester Centre for Integrative Systems Biology (MCISB) , Seventh Framework Programme (European Commission) (FP7), National Institutes of Health (U.S.) (NIH) | ||||
| Grant number: | BB/C008219/1 (BBSRC/EPSRC) ; 289434 (FP7) ; BB/J019259/1 (BBSRC) ; R01GM080219 (NIH) |
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