Chao Ye
1 State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, Jiangsu, China;2 Key Laboratory of Industrial Biotechnology, Ministry of Education, Jiangnan University, Wuxi 214122, Jiangsu, ChinaNan Xu
3 College of Bioscience and Biotechnology, Yangzhou University, Yangzhou 225009, Jiangsu, ChinaXiulai Chen
1 State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, Jiangsu, China;2 Key Laboratory of Industrial Biotechnology, Ministry of Education, Jiangnan University, Wuxi 214122, Jiangsu, ChinaLiming Liu
1 State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, Jiangsu, China;2 Key Laboratory of Industrial Biotechnology, Ministry of Education, Jiangnan University, Wuxi 214122, Jiangsu, ChinaNational Key Research and Development Program of China (No. 2018YFA0901401), the Scientific and Technological Innovation Leading Talents of National “Ten Thousand Talent Program” (2018), the National Natural Science Foundation of China (No. 21808083), the Key Technologies Research and Development Program of Jiangsu Province (Nos. BE2018623, BE2017622), the Key Field Research and Development Program of Guangdong Province (No. 2019B020218001).
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.
叶超,徐楠,陈修来,刘立明. 应用代谢网络模型解析工业微生物胞内代谢[J]. Chinese Journal of Biotechnology, 2019, 35(10): 1901-1913
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