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Updated: Jun 16, 2026

Manipulation and Analysis of Cell Cycle-Dependent Processes in Budding Yeast
Published on: September 26, 2025
Timing robustness in the budding and fission yeast cell cycles
Karan Mangla1, David L Dill, Mark A Horowitz
1Department of Computer Science, Stanford University, Stanford, California, United States of America.
Biological models exhibit timing robustness, crucial for systems biology. This study reveals that cell cycle models are largely speed-independent, suggesting evolutionary pressure maintains this critical feature.
Area of Science:
- Systems biology
- Computational biology
- Cell cycle regulation
Background:
- Synchronous updates in Boolean models limit analysis of timing variations.
- Robustness to timing variations is essential for biological model accuracy under noisy conditions.
Purpose of the Study:
- To assess the speed independence of existing Boolean models of budding and fission yeast cell cycles.
- To investigate the impact of timing variations on biological model predictions and identify potential inaccuracies.
Main Methods:
- Construction of Boolean models from published mathematical models.
- Analysis using model-checking software to evaluate speed independence.
- In silico random mutations to assess robustness preservation.
Main Results:
- Cell cycle models are nearly, but not completely, speed-independent.
- Timing issues revealed model inaccuracies, which were corrected by biologically justified revisions.
- Random mutations rarely preserved speed independence in functional models.
Conclusions:
- Timing robustness is a significant feature in cell cycle models, likely driven by evolutionary selection.
- Timing robustness can guide hypothesis generation and identify areas for model refinement.
- Boolean models can be refined to improve accuracy and robustness to timing variations.
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