Ye Chao, Xu Nan, Chen Xiulai, Liu Liming
State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, Jiangsu, China.
Key Laboratory of Industrial Biotechnology, Ministry of Education, Jiangnan University, Wuxi 214122, Jiangsu, China.
Sheng Wu Gong Cheng Xue Bao. 2019 Oct 25;35(10):1901-1913. doi: 10.13345/j.cjb.190257.
To quickly and efficiently understand the intracellular metabolic characteristics of industrial microorganisms, and to find potential metabolic engineering targets, genome-scale metabolic network models (GSMMs) as a systems biology tool, are attracting more and more attention. We review here the 20-year history of metabolic network model, analyze the research status and development of GSMMs, summarize the methods for model construction and analysis, and emphasize the applications of metabolic network model for analyzing intracellular metabolic activity of microorganisms from cellular phenotypes, and metabolic engineering. Furthermore, we indicate future development trend of metabolic network model.
为了快速、高效地了解工业微生物的细胞内代谢特征,并找到潜在的代谢工程靶点,作为一种系统生物学工具的基因组规模代谢网络模型(GSMMs)正受到越来越多的关注。在此,我们回顾了代谢网络模型20年的发展历程,分析了GSMMs的研究现状与进展,总结了模型构建与分析方法,并着重阐述了代谢网络模型在从细胞表型分析微生物细胞内代谢活性以及代谢工程方面的应用。此外,我们还指出了代谢网络模型未来的发展趋势。