Integrative Genetics and Genomics, University of California Davis , Davis, CA , USA ; Department of Biomedical Engineering, University of California Davis , Davis, CA , USA.
Department of Biomedical Engineering, University of California Davis , Davis, CA , USA.
Front Bioeng Biotechnol. 2014 Dec 9;2:66. doi: 10.3389/fbioe.2014.00066. eCollection 2014.
As mathematical models become more commonly integrated into the study of biology, a common language for describing biological processes is manifesting. Many tools have emerged for the simulation of in vivo synthetic biological systems, with only a few examples of prominent work done on predicting the dynamics of cell-free synthetic systems. At the same time, experimental biologists have begun to study dynamics of in vitro systems encapsulated by amphiphilic molecules, opening the door for the development of a new generation of biomimetic systems. In this review, we explore both in vivo and in vitro models of biochemical networks with a special focus on tools that could be applied to the construction of cell-free expression systems. We believe that quantitative studies of complex cellular mechanisms and pathways in synthetic systems can yield important insights into what makes cells different from conventional chemical systems.
随着数学模型在生物学研究中越来越普遍地被采用,一种描述生物学过程的通用语言正在显现。已经出现了许多用于模拟体内合成生物系统的工具,只有少数关于预测无细胞合成系统动力学的突出工作。与此同时,实验生物学家开始研究由两亲分子包封的体外系统的动力学,为新一代仿生系统的发展开辟了道路。在这篇综述中,我们探讨了生物化学网络的体内和体外模型,特别关注可应用于无细胞表达系统构建的工具。我们相信,在合成系统中对复杂细胞机制和途径进行定量研究,可以深入了解细胞与传统化学系统的不同之处。