From Pathways Databases to Network Models of Switching Behavior
Author Information
Author(s): Baltazar D. Aguda, Andrew B. Goryachev
Primary Institution: Mathematical Biosciences Institute, Ohio State University
Hypothesis
How can a reduced network model be extracted from a larger network to explain cellular switching behavior?
Conclusion
The study demonstrates that network models can be systematically extracted from pathways databases to explain the switching behavior of proteins in the cell cycle.
Supporting Evidence
- The study illustrates the extraction of a network model from a large preliminary network.
- Qualitative network analysis identifies key feedback cycles that may cause switching behavior.
- Computer simulations validate the predicted switching behavior of cyclin E/CDK2.
Takeaway
Scientists can use big databases to create smaller models that help understand how cells decide to grow or not.
Methodology
The study involves extracting a reduced network model from a larger network based on qualitative network analysis and kinetic modeling.
Limitations
The lack of quantitative kinetic parameters for most interactions limits the model's precision.
Digital Object Identifier (DOI)
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