Integrative metabolic engineering

被引:2
作者
McArthur, George H. [2 ]
Nanjannavar, Pooja P. [2 ]
Miller, Emily H. [2 ]
Fong, Stephen S. [1 ,2 ]
机构
[1] Virginia Commonwealth Univ, Ctr Study Biol Complex, Richmond, VA 23284 USA
[2] Virginia Commonwealth Univ, Dept Chem & Life Sci Engn, Richmond, VA USA
来源
AIMS BIOENGINEERING | 2015年 / 2卷 / 03期
关键词
metabolic engineering; synthetic biology; computational biology; in silico;
D O I
10.3934/bioeng.2015.3.93
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Recent advances in experimental and computational synthetic biology are extremely useful for achieving metabolic engineering objectives. The integration of synthetic biology and metabolic engineering within an iterative design-build-test framework will improve the practice of metabolic engineering by relying more on efficient design strategies. Computational tools that aid in the design and in silico simulation of metabolic pathways are especially useful. However, software helpful for constructing, implementing, measuring and characterizing engineered pathways and networks should not be overlooked. In this review, we highlight computational synthetic biology tools relevant to metabolic engineering, organized in the context of the design-build-test cycle.
引用
收藏
页码:93 / 103
页数:11
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