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计算细胞周期建模的介绍性综述。

Introductory review of computational cell cycle modeling.

作者信息

Kriete Andres, Noguchi Eishi, Sell Christian

机构信息

School of Biomedical Engineering, Science and Health Systems, Bossone Research Center, Drexel University, 3141 Chestnut Street, Philadelphia, PA, 19104, USA,

出版信息

Methods Mol Biol. 2014;1170:267-75. doi: 10.1007/978-1-4939-0888-2_12.

Abstract

Recent advances in the modeling of the cell cycle through computer simulation demonstrate the power of systems biology. By definition, systems biology has the goal to connect a parts list, prioritized through experimental observation or high-throughput screens, by the topology of interactions defining intracellular networks to predict system function. Computer modeling of biological systems is often compared to a process of reverse engineering. Indeed, designed or engineered technical systems share many systems-level properties with biological systems; thus studying biological systems within an engineering framework has proven successful. Here we review some aspects of this process as it pertains to cell cycle modeling.

摘要

通过计算机模拟对细胞周期进行建模的最新进展证明了系统生物学的强大力量。根据定义,系统生物学的目标是通过定义细胞内网络的相互作用拓扑结构,将通过实验观察或高通量筛选确定优先级的部件列表联系起来,以预测系统功能。生物系统的计算机建模常被比作逆向工程过程。的确,设计或工程技术系统与生物系统具有许多系统层面的特性;因此,在工程框架内研究生物系统已被证明是成功的。在这里,我们回顾一下与细胞周期建模相关的这一过程的一些方面。

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本文引用的文献

1
Computational modeling of the cell cycle.细胞周期的计算建模。
Sci Signal. 2011 Sep 20;4(192):tr11. doi: 10.1126/scisignal.2001985.
4
Modular logical modelling of the budding yeast cell cycle.芽殖酵母细胞周期的模块化逻辑建模。
Mol Biosyst. 2009 Dec;5(12):1787-96. doi: 10.1039/B910101m. Epub 2009 Jul 31.
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Computational systems biology of the cell cycle.细胞周期的计算系统生物学
Brief Bioinform. 2009 Jul;10(4):424-34. doi: 10.1093/bib/bbp005. Epub 2009 Mar 6.

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