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20032018
most citedThe Yeast Cell-Cycle Network Is Robustly Designed

1.1k citations · 1.6k across the 7 of their papers we have counts for

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7 papers

q-bio.MN2018★ 5 cited

Critical slowing down and attractive manifold: a mechanism for dynamic robustness in yeast cell-cycle process

Yao Zhao, Dedi Wang, Zhiwen Zhang +5

The biological processes that execute complex multiple functions, such as cell cycle, must ensure the order of sequential events and keep the dynamic robustness against various flu…

physics.bio-ph2017★ 257 cited

Growth strategy of microbes on mixed carbon sources

Xin Wang, Kang Xia, Xiaojing Yang +1

A classic problem in microbiology is that bacteria display two types of growth behavior when cultured on a mixture of two carbon sources: the two sources are sequentially consumed…

q-bio.MN2014★ 20 cited

Generic Properties of Random Gene Regulatory Networks

Zhiyuan Li, Simone Bianco, Zhaoyang Zhang +1

Modeling gene regulatory networks (GRNs) is an important topic in systems biology. Although there has been much work focusing on various specific systems, the generic behavior of G…

q-bio.MN2006★ 95 cited

Function Constrains Network Architecture and Dynamics: A Case Study on the Yeast Cell Cycle Boolean Network

Kai-Yeung Lau, Surya Ganguli, Chao Tang

We develop a general method to explore how the function performed by a biological network can constrain both its structural and dynamical network properties. This approach is ortho…

q-bio.MN2006★ 30 cited

Dynamic Studies of Scaffold-dependent Mating Pathway in Yeast

Danying Shao, Wen Zheng, Wenjun Qiu +2

The mating pathway in \emph{Saccharomyces cerevisiae} is one of the best understood signal transduction pathways in eukaryotes. It transmits the mating signal from plasma membrane…

q-bio.MN2006★ 85 cited

Stochastic Model of Yeast Cell Cycle Network

Yuping Zhang, Minping Qian, Qi Ouyang +3

Biological functions in living cells are controlled by protein interaction and genetic networks. These molecular networks should be dynamically stable against various fluctuations…