Kriete Andres, Noguchi Eishi, Sell Christian
School of Biomedical Engineering, Science and Health Systems, Bossone Research Center, Drexel University, 3141 Chestnut Street, Philadelphia, PA, 19104, USA,
Methods Mol Biol. 2014;1170:267-75. doi: 10.1007/978-1-4939-0888-2_12.
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.
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。
