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相关论文: The Yeast Cell-Cycle Network Is Robustly Designed

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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…

分子网络 · 定量生物学 2009-11-13 Yuping Zhang , Minping Qian , Qi Ouyang , Minghua Deng , Fangting Li , Chao Tang

Yeast cells produce daughter cells through a DNA replication and mitosis cycle associated with checkpoints and governed by the cell cycle regulatory network. To ensure genome stability and genetic information inheritance, this regulatory…

分子网络 · 定量生物学 2014-09-15 Fangting Li , Mingyang Hu , Bo Zhao , Hao Yan , Bin Wu , Qi Ouyang

Gene regulatory dynamics is governed by molecular processes and therefore exhibits an inherent stochasticity. However, for the survival of an organism it is a strict necessity that this intrinsic noise does not prevent robust functioning of…

分子网络 · 定量生物学 2007-05-23 Stefan Braunewell , Stefan Bornholdt

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 fluctuations. Here, we examine the dynamic mechanism and the…

分子网络 · 定量生物学 2020-04-22 Yao Zhao , Dedi Wang , Zhiwen Zhang , Ying Lu , Xiaojing Yang , Qi Ouyang , Chao Tang , Fangting Li

The functioning of a living cell is largely determined by the structure of its regulatory network, comprising non-linear interactions between regulatory genes. An important factor for the stability and evolvability of such regulatory…

分子网络 · 定量生物学 2015-05-13 Gunnar Boldhaus , Konstantin Klemm

The cell cycle is a tightly controlled process, yet its underlying genetic network shows marked differences across species. Which of the associated structural features follow solely from the ability to impose the appropriate gene expression…

分子网络 · 定量生物学 2015-06-12 M. Zagorski , A. Krzywicki , O. C. Martin

The structure and dynamics of a typical biological system are complex due to strong and inhomogeneous interactions between its constituents. The investigation of such systems with classical mathematical tools, such as differential equations…

分子网络 · 定量生物学 2008-02-15 Murat Tuğrul

Gene regulatory networks constitute the first layer of the cellular computation for cell adaptation and surveillance. In these webs, a set of causal relations is built up from thousands of interactions between transcription factors and…

分子网络 · 定量生物学 2009-11-30 Carlos Rodriguez-Caso , Bernat Corominas-Murtra , Ricard V. Solé

We define a measure of coherent activity for gene regulatory networks, a property that reflects the unity of purpose between the regulatory agents with a common target. We propose that such harmonious regulatory action is desirable under a…

定量方法 · 定量生物学 2015-07-30 Nese Aral , Alkan Kabakcioglu

We study the robustness and stability of the yeast cell regulatory network by using a general inhomogeneous discrete model. We find that inhomogeneity, on average, enhances the stability of the biggest attractor of the dynamics and that the…

分子网络 · 定量生物学 2008-12-12 L. Wardil , J. K. L. da Silva

The regulatory mechanisms driving progression of the yeast cell cycle appears to be comprised of an interacting network of transcription factors (TFs), cyclin-dependent kinases (CDK) and ubiquitin ligases. From a systems perspective the…

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 orthogonal to prior studies which examine the functional…

分子网络 · 定量生物学 2009-11-13 Kai-Yeung Lau , Surya Ganguli , Chao Tang

A Boolean network model of the cell-cycle regulatory network of fission yeast (Schizosaccharomyces Pombe) is constructed solely on the basis of the known biochemical interaction topology. Simulating the model in the computer, faithfully…

分子网络 · 定量生物学 2015-05-13 Maria I. Davidich , Stefan Bornholdt

Evolving biomolecular networks have to combine the stability against perturbations with flexibility allowing their constituents to assume new roles in the cell. Gene duplication followed by functional divergence of associated proteins is a…

分子网络 · 定量生物学 2007-05-23 Sergei Maslov , Kim Sneppen , Kasper Astrup Eriksen

We investigate the structural and dynamical properties of the transcriptional regulatory network of the yeast {\it Saccharomyces cerevisiae} and compare it with two unbiased ensembles: one obtained by reshuffling the edges and the other…

分子网络 · 定量生物学 2009-12-08 Murat Tugrul , Alkan Kabakcioglu

Chemical reactions in cell are subject to intense stochastic fluctuations. An important question is how the fundamental physiological behavior of cell is kept stable against those noisy perturbations. In this paper a stochastic model of…

分子网络 · 定量生物学 2009-11-13 Yurie Okabe , Masaki Sasai

Applying the mathematical circulation theory of Markov chains, we investigate the synchronized stochastic dynamics of a discrete network model of yeast cell-cycle regulation where stochasticity has been kept rather than being averaged out.…

分子网络 · 定量生物学 2009-04-16 Hao Ge , Hong Qian , Min Qian

We investigate the dynamical properties of the transcriptional regulation of gene expression in the yeast Saccharomyces Cerevisiae within the framework of a synchronously and deterministically updated Boolean network model. By means of a…

分子网络 · 定量生物学 2015-05-13 Murat Tugrul , Alkan Kabakcioglu

We study the dynamics of gene activities in relatively small size biological networks (up to a few tens of nodes), e.g. the activities of cell-cycle proteins during the mitotic cell-cycle progression. Using the framework of deterministic…

分子网络 · 定量生物学 2009-11-13 Gautier Stoll , Jacques Rougemont , Felix Naef

Complex network dynamics have been analyzed with models of systems of coupled switches or systems of coupled oscillators. However, many complex systems are composed of components with diverse dynamics whose interactions drive the system's…

定量方法 · 定量生物学 2012-01-09 Matthew R. Francis , Elana J. Fertig
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