From steady‐state to synchronized yeast glycolytic oscillations I: model construction
An existing detailed kinetic model for the steady‐state behavior of yeast glycolysis was tested for its ability to simulate dynamic behavior. Using a small subset of experimental data, the original model was adapted by adjusting its parameter values in three optimization steps. Only small adaptation...
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description | An existing detailed kinetic model for the steady‐state behavior of yeast glycolysis was tested for its ability to simulate dynamic behavior. Using a small subset of experimental data, the original model was adapted by adjusting its parameter values in three optimization steps. Only small adaptations to the original model were required for realistic simulation of experimental data for limit‐cycle oscillations. The greatest changes were required for parameter values for the phosphofructokinase reaction. The importance of ATP for the oscillatory mechanism and NAD(H) for inter‐and intra‐cellular communications and synchronization was evident in the optimization steps and simulation experiments. In an accompanying paper [du Preez F et al. (2012) FEBS J279, 2823–2836], we validate the model for a wide variety of experiments on oscillatory yeast cells. The results are important for re‐use of detailed kinetic models in modular modeling approaches and for approaches such as that used in the Silicon Cell initiative.
Database
The mathematical models described here have been submitted to the JWS Online Cellular Systems Modelling Database and can be accessed at http://jjj.biochem.sun.ac.za/database/dupreez/index.html.
Using a small subset of experimental data, an existing detailed kinetic model for steady state behavior of yeast glycolysis was adapted to simulate dynamic behavior. Only small adaptations needed to be made to the original model for a realistic simulation of experimental data for limit cycle oscillations. Largest changes were needed to parameter values for the phosphofructokinase reaction |
doi_str_mv | 10.1111/j.1742-4658.2012.08665.x |
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Database
The mathematical models described here have been submitted to the JWS Online Cellular Systems Modelling Database and can be accessed at http://jjj.biochem.sun.ac.za/database/dupreez/index.html.
Using a small subset of experimental data, an existing detailed kinetic model for steady state behavior of yeast glycolysis was adapted to simulate dynamic behavior. Only small adaptations needed to be made to the original model for a realistic simulation of experimental data for limit cycle oscillations. Largest changes were needed to parameter values for the phosphofructokinase reaction</description><identifier>ISSN: 1742-464X</identifier><identifier>EISSN: 1742-4658</identifier><identifier>DOI: 10.1111/j.1742-4658.2012.08665.x</identifier><identifier>PMID: 22712534</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Acetaldehyde - metabolism ; Adenosine Triphosphatases - metabolism ; Cell Communication - physiology ; Computer Simulation ; Databases, Factual ; Enzyme kinetics ; Glycolysis ; Kinetics ; limit‐cycle oscillation ; mathematical model ; Mathematical models ; Metabolic Networks and Pathways ; Microbiology ; model construction ; Models, Biological ; NAD - metabolism ; Phosphofructokinases - metabolism ; Saccharomyces cerevisiae - metabolism ; Saccharomyces cerevisiae ; Systems Biology ; Yeast</subject><ispartof>The FEBS journal, 2012-08, Vol.279 (16), p.2810-2822</ispartof><rights>2012 The Authors Journal compilation © 2012 FEBS</rights><rights>2012 The Authors Journal compilation © 2012 FEBS.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3985-1721d6c7e53b618c22417cca8069ab543efcf72512791412f96dae6a52d5dd8d3</citedby><cites>FETCH-LOGICAL-c3985-1721d6c7e53b618c22417cca8069ab543efcf72512791412f96dae6a52d5dd8d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fj.1742-4658.2012.08665.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fj.1742-4658.2012.08665.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,781,785,1418,1434,27929,27930,45579,45580,46414,46838</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22712534$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>du Preez, Franco B.</creatorcontrib><creatorcontrib>van Niekerk, David D.</creatorcontrib><creatorcontrib>Kooi, Bob</creatorcontrib><creatorcontrib>Rohwer, Johann M.</creatorcontrib><creatorcontrib>Snoep, Jacky L.</creatorcontrib><title>From steady‐state to synchronized yeast glycolytic oscillations I: model construction</title><title>The FEBS journal</title><addtitle>FEBS J</addtitle><description>An existing detailed kinetic model for the steady‐state behavior of yeast glycolysis was tested for its ability to simulate dynamic behavior. Using a small subset of experimental data, the original model was adapted by adjusting its parameter values in three optimization steps. Only small adaptations to the original model were required for realistic simulation of experimental data for limit‐cycle oscillations. The greatest changes were required for parameter values for the phosphofructokinase reaction. The importance of ATP for the oscillatory mechanism and NAD(H) for inter‐and intra‐cellular communications and synchronization was evident in the optimization steps and simulation experiments. In an accompanying paper [du Preez F et al. (2012) FEBS J279, 2823–2836], we validate the model for a wide variety of experiments on oscillatory yeast cells. The results are important for re‐use of detailed kinetic models in modular modeling approaches and for approaches such as that used in the Silicon Cell initiative.
Database
The mathematical models described here have been submitted to the JWS Online Cellular Systems Modelling Database and can be accessed at http://jjj.biochem.sun.ac.za/database/dupreez/index.html.
Using a small subset of experimental data, an existing detailed kinetic model for steady state behavior of yeast glycolysis was adapted to simulate dynamic behavior. Only small adaptations needed to be made to the original model for a realistic simulation of experimental data for limit cycle oscillations. Largest changes were needed to parameter values for the phosphofructokinase reaction</description><subject>Acetaldehyde - metabolism</subject><subject>Adenosine Triphosphatases - metabolism</subject><subject>Cell Communication - physiology</subject><subject>Computer Simulation</subject><subject>Databases, Factual</subject><subject>Enzyme kinetics</subject><subject>Glycolysis</subject><subject>Kinetics</subject><subject>limit‐cycle oscillation</subject><subject>mathematical model</subject><subject>Mathematical models</subject><subject>Metabolic Networks and Pathways</subject><subject>Microbiology</subject><subject>model construction</subject><subject>Models, Biological</subject><subject>NAD - metabolism</subject><subject>Phosphofructokinases - metabolism</subject><subject>Saccharomyces cerevisiae - metabolism</subject><subject>Saccharomyces cerevisiae</subject><subject>Systems Biology</subject><subject>Yeast</subject><issn>1742-464X</issn><issn>1742-4658</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkM1O3DAQgK0KVGDhFSpLvXDZYDv-Sw9IgFhAWqmHFsHN8tpOm1USg-0I0lMfoc_YJ8Fh6R441ZcZj78Zjz4AIEYFzudkXWBByZxyJguCMCmQ5JwVzx_A_vZhZ5vT-z1wEOMaoZLRqvoI9ggRmLCS7oO7RfAdjMlpO_79_ScmnRxMHsaxNz-D75tfzsLR6Zjgj3Y0vh1TY6CPpmlbnRrfR3jzBXbeuhaafEthMFP5EOzWuo3u6C3OwO3i8vvF9Xz59erm4mw5N2Ul2RwLgi03wrFyxbE0hFAsjNES8UqvGC1dbWpBGCaiwhSTuuJWO64ZscxaacsZON7MfQj-cXAxqa6JxuXleueHqDAiEhEkEM_o53fo2g-hz9tNlGCcSsQyJTeUCT7G4Gr1EJpOhzFDapKv1mryqibHapKvXuWr59z66e2DYdU5u238ZzsDpxvgqWnd-N-D1eLy_NuUli_BeZRB</recordid><startdate>201208</startdate><enddate>201208</enddate><creator>du Preez, Franco B.</creator><creator>van Niekerk, David D.</creator><creator>Kooi, Bob</creator><creator>Rohwer, Johann M.</creator><creator>Snoep, Jacky L.</creator><general>Blackwell Publishing Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7TK</scope><scope>7TM</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>201208</creationdate><title>From steady‐state to synchronized yeast glycolytic oscillations I: model construction</title><author>du Preez, Franco B. ; 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Using a small subset of experimental data, the original model was adapted by adjusting its parameter values in three optimization steps. Only small adaptations to the original model were required for realistic simulation of experimental data for limit‐cycle oscillations. The greatest changes were required for parameter values for the phosphofructokinase reaction. The importance of ATP for the oscillatory mechanism and NAD(H) for inter‐and intra‐cellular communications and synchronization was evident in the optimization steps and simulation experiments. In an accompanying paper [du Preez F et al. (2012) FEBS J279, 2823–2836], we validate the model for a wide variety of experiments on oscillatory yeast cells. The results are important for re‐use of detailed kinetic models in modular modeling approaches and for approaches such as that used in the Silicon Cell initiative.
Database
The mathematical models described here have been submitted to the JWS Online Cellular Systems Modelling Database and can be accessed at http://jjj.biochem.sun.ac.za/database/dupreez/index.html.
Using a small subset of experimental data, an existing detailed kinetic model for steady state behavior of yeast glycolysis was adapted to simulate dynamic behavior. Only small adaptations needed to be made to the original model for a realistic simulation of experimental data for limit cycle oscillations. Largest changes were needed to parameter values for the phosphofructokinase reaction</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><pmid>22712534</pmid><doi>10.1111/j.1742-4658.2012.08665.x</doi><tpages>13</tpages></addata></record> |
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subjects | Acetaldehyde - metabolism Adenosine Triphosphatases - metabolism Cell Communication - physiology Computer Simulation Databases, Factual Enzyme kinetics Glycolysis Kinetics limit‐cycle oscillation mathematical model Mathematical models Metabolic Networks and Pathways Microbiology model construction Models, Biological NAD - metabolism Phosphofructokinases - metabolism Saccharomyces cerevisiae - metabolism Saccharomyces cerevisiae Systems Biology Yeast |
title | From steady‐state to synchronized yeast glycolytic oscillations I: model construction |
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