Dataset Information


A hybrid stochastic model of the budding yeast cell cycle.

ABSTRACT: 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.

SUBMITTER: Ahmadian M 

PROVIDER: S-EPMC7101447 | BioStudies | 2020-01-01

REPOSITORIES: biostudies

Similar Datasets

2012-01-01 | S-EPMC3272065 | BioStudies
1000-01-01 | S-EPMC5656096 | BioStudies
1000-01-01 | S-EPMC2761401 | BioStudies
2020-04-14 | MODEL2004140002 | BioModels
2015-01-01 | S-EPMC4424691 | BioStudies
1000-01-01 | S-EPMC6104574 | BioStudies
2017-01-01 | S-EPMC5534078 | BioStudies
2013-01-01 | S-EPMC3723497 | BioStudies
2016-01-01 | S-EPMC4990281 | BioStudies
2015-01-01 | S-EPMC4368831 | BioStudies