本文已被:浏览 3616次 下载 4758次
投稿时间:2018-10-29
投稿时间:2018-10-29
中文摘要: 代谢工程研究的主要目的是通过改造菌株代谢网络,高效地合成目的产品。由于细胞代谢网络的复杂性,从数千个代谢反应及其调控回路中找到合适的改造靶点非常困难,往往要经过反复试差才能成功。通过对大规模代谢网络的计算分析,设计出特定生物产品的最优合成途径,可以帮助人们找出合适的代谢工程改造策略,减少改造过程的盲目性,更快更好地得到生物合成菌株。文章重点讨论两个问题:(1)如何设计代谢网络来合成原来不能合成的产品并提高产品得率,介绍了基于代谢网络计算分析的代谢工程设计方法;(2)如何设计菌株实现酶反应的精准调控,介绍了通过设计基因回路动态调控代谢途径流向的动态代谢工程研究新进展。
Abstract:One main objective of metabolic engineering is to rewire the metabolic network for efficient production of biochemicals. Due to the complexity of cellular metabolic networks, it is often not straightforward to identify the proper modification targets from thousands of metabolic genes. Therefore, a time-consuming trial & error process is often required for the successful development. Aided by computational modeling of large-scale metabolic networks, one can design optimal pathways for synthesis of objective products, reducing the uncertainty of development and thus accelerating the strain construction process. In this short text, we give brief introduction to metabolic engineering design methods from two aspects:how to modify an organism to produce new chemicals with higher yields, and how to improve the cellular adaptation to the changing process conditions by integrating gene circuits. The computer aided design approach together with automated genome edition technologies, will greatly enhance the efficiency of the construction of artificial cell factories.
keywords: computational design metabolic engineering biosynthesis dynamic regulation metabolic network synthetic biology
文章编号: 中图分类号: 文献标志码:
基金项目:
引用文本:
马红武,陈修来,袁倩倩,刘立明,孙际宾.面向生物合成的代谢工程策略设计[J].中国科学院院刊,2018,33(11):1166-1173.
MA Hongwu,CHEN Xiulai,YUAN Qianqian,LIU Liming,SUN Jibin.Design of Metabolic Engineering Strategies for Biosynthesis of Valuable Products[J].Bulletin of Chinese Academy of Sciences,2018,33(11):1166-1173.
马红武,陈修来,袁倩倩,刘立明,孙际宾.面向生物合成的代谢工程策略设计[J].中国科学院院刊,2018,33(11):1166-1173.
MA Hongwu,CHEN Xiulai,YUAN Qianqian,LIU Liming,SUN Jibin.Design of Metabolic Engineering Strategies for Biosynthesis of Valuable Products[J].Bulletin of Chinese Academy of Sciences,2018,33(11):1166-1173.