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Compact modeling of allosteric multisite proteins: application to a cell size checkpoint
Germán Enciso1, Douglas R Kellogg2, Arturo Vargas3
1Department of Mathematics, Department of Developmental and Cell Biology, University of California Irvine, Irvine, California, United States of America.
We developed a simplified model for allosteric multisite phosphorylation proteins, accurately capturing complex behaviors. This framework aids in analyzing signaling pathways, like a budding yeast cell growth checkpoint exhibiting a robust hysteretic switch.
Area of Science:
- Biochemistry
- Systems Biology
- Cell Signaling
Background:
- Allosteric multisite phosphorylation proteins are crucial in cellular regulation.
- Modeling their complex dose-response behaviors is challenging.
- Existing models like Monod-Wyman-Changeux or rule-based models can be computationally intensive.
Purpose of the Study:
- To develop a simplified framework for modeling allosteric multisite phosphorylation proteins.
- To demonstrate that this reduction can accurately replicate detailed multisite system behavior.
- To apply this framework to analyze a specific biological pathway.
Main Methods:
- Utilizing a single auxiliary variable to reduce model complexity.
- Comparing the reduced model's steady-state behavior with detailed models.
- Analyzing a budding yeast cell checkpoint signaling pathway.
Main Results:
- The reduced model closely replicates the steady-state behavior of detailed multisite systems.
- Optimal ultrasensitivity is achieved with concerted and redundant site activation.
- The budding yeast cell growth checkpoint exhibits a robust hysteretic switch mechanism.
Conclusions:
- The simplified framework is effective for modeling and analyzing complex biochemical systems.
- This approach facilitates the study of interacting multisite proteins.
- The budding yeast pathway demonstrates a sophisticated mechanism for cell growth measurement.
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