Modeling the Cell Cycle of Fission Yeast
Author Information
Author(s): Maria I. Davidich, Stefan Bornholdt
Primary Institution: Institut für Theoretische Physik, Universität Bremen, Bremen, Germany
Hypothesis
Can a Boolean network model accurately predict the cell cycle sequence of fission yeast based solely on known biochemical interactions?
Conclusion
The Boolean network model successfully reproduces the known activity sequence of regulatory proteins during the fission yeast cell cycle without requiring detailed kinetic parameters.
Supporting Evidence
- The model accurately predicts the sequence of protein activation during the cell cycle.
- The G1 stationary state is the dominant attractor in the model, attracting 73% of all initial states.
- The model demonstrates robustness against perturbations in the biological sequence of protein activation.
Takeaway
Scientists created a computer model to understand how fission yeast cells grow and divide, and it worked really well without needing a lot of complicated details.
Methodology
The study constructed a discrete dynamical model based on the known biochemical interaction topology of the fission yeast cell cycle.
Limitations
The model does not account for all biochemical parameters and assumes a simplified interaction structure.
Digital Object Identifier (DOI)
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