Stochastic model of yeast cell-cycle network

By Yuping Zhang, M. Qian, Ouyang Qi, Minghua Deng, Fangting Li, Chao Tang. 2006

90 citations recorded by the source corpus.

Biological functions in living cells are controlled by protein interaction and genetic networks. These molecular networks should be dynamically stable against various fluctuations which are inevitable in the living world. In this paper, we propose and study a stochastic model for the network regulating the cell cycle of the budding yeast. The stochasticity in the model is controlled by a temperature-like parameter . Our simulation results show that both the biological stationary state and the biological pathway are stable for a wide range of “temperature”. There is, however, a sharp transition-like behavior at c, below which the dynamics are dominated by noise. We also define a pseudo energy landscape for the system in which the biological pathway can be seen as a deep valley. c 2006 Elsevier B.V. All rights reserved.

Subfields: Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/2eb472607d5f7fde5e81ef9bffa2462e455ba278

Citations in the corpus

• Modeling the cell cycle: why do certain circuits oscillate? (2011, unknown): “…(Pomerening et al., 2005) 2006 Mammalian somatic cells Delay differential equations (Srividhya and Gopinathan, 2006) 2006 S. cerevisiae Stochastic (Zhang et al., 2006) 2007 S. cerevisiae Stochastic (Braunewell and Bornholdt, 2007) 2007 S. cerevisiae Stochastic (Okabe and Sasai, 2007) 2007 S.…”