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Toward Genome Scale Modeling of Escherichia coli Cell-Free Protein Synthesis

机译:对大肠杆菌无细胞蛋白质合成的基因组规模建模

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Cell-free protein synthesis (CFPS) is a promising approach for point of care manufacturing of therapeutic proteins [1]. Cell-free systems offer many advantages for protein production compared with traditional in vivo processes. Central amongst these, is direct access to metabolites and the biosynthetic machinery without the interference of a cell wall, or complications associated with cell growth. This allows us to interrogate the chemical environment while the biosynthetic machinery is operating, potentially at a fine time resolution. Today, cell-free systems are used in a variety of applications ranging from therapeutic protein production, and vaccine development to synthetic biology [1]. However, if CFPS is to become a mainstream technology for point of care manufacturing, we must first understand the performance limits of these systems. One tool to address this question is mathematical modeling.
机译:无细胞蛋白质合成(CFPS)是治疗蛋白的护理点的有希望的方法[1]。与传统体内过程相比,无细胞系统为蛋白质生产提供了许多优点。中央在这些中,可以直接进入代谢物和生物合成机械而不干涉细胞壁,或与细胞生长相关的并发症。这使我们能够在生物合成机器运行的同时询问化学环境,潜在的时间分辨率。如今,无细胞系统用于从治疗性蛋白质生产的各种应用中使用,以及对合成生物学的疫苗开发[1]。但是,如果CFPS是成为护理点的主流技术,我们必须首先了解这些系统的性能限制。一个解决这个问题的一个工具是数学建模。

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