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Integrative analysis of cell cycle control in budding yeast
Katherine C Chen1, Laurence Calzone, Attila Csikasz-Nagy
1Department of Biology, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061-0406, USA. kchen@vt.edu
Molecular Biology of the Cell
|June 1, 2004
Summary
Mathematical modeling of protein interaction networks in budding yeast successfully explains cell cycle phenotypes. The approach reveals areas needing revision and predicts new mutant behaviors, aiding understanding of cell division.
Area of Science:
- Systems Biology
- Computational Biology
- Molecular Cell Biology
Background:
- Cellular adaptive responses rely on complex protein interaction networks.
- Intuitive reasoning is insufficient to understand these intricate molecular regulatory networks.
- Mathematical modeling offers a rigorous method for analyzing network complexity.
Purpose of the Study:
- To apply mathematical modeling to the budding yeast cell cycle.
- To test the model's ability to explain known mutant phenotypes.
- To identify areas requiring mechanistic revision and predict new mutant behaviors.
Main Methods:
- Developed a mathematical model based on biochemical rate equations.
- Utilized a consensus view of the budding yeast cell cycle control system.
- Compared model predictions against experimental data from over 100 genetically engineered strains.
Main Results:
- The mathematical model largely explained existing mutant phenotypes.
- Identified specific inconsistencies between model predictions and experimental observations.
- Demonstrated the model's utility in hypothesis generation and prediction of novel mutant phenotypes.
Conclusions:
- Mathematical modeling is a powerful tool for dissecting complex cellular regulatory networks.
- The study refines understanding of the budding yeast cell cycle control system.
- The model facilitates hypothesis testing and prediction of in vivo biochemical parameters.
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