Computational approaches to metabolic engineering utilizing systems biology and synthetic biology.
Computational approaches to metabolic engineering utilizing systems biology and synthetic biology.
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DOI：
10.1016/j.csbj.2014.08.005
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发表时间：
2014-08
影响因子：
6
通讯作者：
Fong, Stephen S
中科院分区：
文献类型：
--
作者：
Fong, Stephen S
代谢工程改变细胞功能以适应各种生化应用。代谢工程工作的基础是一系列工具和知识，这些工具和知识被整合起来以实现成功的结果。计算和实验工具的同时发展使得代谢工程的不同方法成为可能。一种方法是利用知识和计算工具前瞻性地预测设计以实现期望的结果。另一种方法是利用组合实验工具凭经验探索细胞功能的范围并筛选所需的性状。这篇小型评论的重点是计算系统生物学和合成生物学工具，这些工具可以结合使用以进行计算机菌株设计的前瞻性。
Metabolic engineering modifies cellular function to address various biochemical applications. Underlying metabolic engineering efforts are a host of tools and knowledge that are integrated to enable successful outcomes. Concurrent development of computational and experimental tools has enabled different approaches to metabolic engineering. One approach is to leverage knowledge and computational tools to prospectively predict designs to achieve the desired outcome. An alternative approach is to utilize combinatorial experimental tools to empirically explore the range of cellular function and to screen for desired traits. This mini-review focuses on computational systems biology and synthetic biology tools that can be used in combination for prospective in silico strain design.