A hybrid stochastic model of the budding yeast cell cycle

被引：9
|
作者：
Ahmadian, Mansooreh [1 ]
Tyson, John J. [2 ]
Peccoud, Jean [3 ]
Cao, Yang [1 ]
机构：
[1] Virginia Tech, Dept Comp Sci, Blacksburg, VA 24061 USA
[2] Virginia Tech, Dept Biol Sci, Blacksburg, VA 24061 USA
[3] GenoFAB Inc, Ft Collins, CO USA
来源：
NPJ SYSTEMS BIOLOGY AND APPLICATIONS | 2020年 / 6卷 / 01期
基金：
美国国家科学基金会;
关键词：
MOLECULAR-MODEL; MITOTIC CONTROL; DIVISION CYCLE; SIMULATION; NOISE; DYNAMICS; FLUCTUATIONS; ANTAGONISM; MECHANISMS; NETWORK;
D O I：
10.1038/s41540-020-0126-z
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
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.
引用
收藏
页数：10
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