The growth and division of eukaryotic cells are regulated by complex, multi-scale networks. In this process, the mechanism of controlling cell-cycle progression has to be robust against inherent noise in the system. In this paper, a hybrid stochastic model is developed to study the effects of noise on the control mechanism of the budding yeast cell cycle. The modeling approach leverages, in a single multi-scale model, the advantages of two regimes: (1) the computational efficiency of a deterministic approach, and (2) the accuracy of stochastic simulations. Our results show that this hybrid stochastic model achieves high computational efficiency while generating simulation results that match very well with published experimental measurements.

真核细胞的生长和分裂受复杂的多尺度网络调控。在这个过程中，控制细胞周期进程的机制必须对系统中的固有噪声具有鲁棒性。在本文中，开发了一种混合随机模型来研究噪声对出芽酵母细胞周期控制机制的影响。该建模方法在单个多尺度模型中利用了两种方案的优点：(1) 确定性方法的计算效率，以及 (2) 随机模拟的准确性。我们的结果表明，这种混合随机模型实现了高计算效率，同时生成的模拟结果与已发布的实验测量结果非常匹配。