Current status and applications of genome-scale metabolic models

被引:438
作者
Gu, Changdai [1 ]
Kim, Gi Bae [1 ]
Kim, Won Jun [1 ]
Kim, Hyun Uk [2 ,3 ,4 ,5 ]
Lee, Sang Yup [1 ,3 ,4 ,5 ]
机构
[1] Korea Adv Inst Sci & Technol, Metab & Biomol Engn Natl Res Lab, Dept Chem & Biomol Engn, Inst BioCentury,BK21 Plus Program, Daejeon 34141, South Korea
[2] Korea Adv Inst Sci & Technol, BK21 Plus Program, Dept Chem & Biomol Engn, Syst Biol & Med Lab, Daejeon 34141, South Korea
[3] Korea Adv Inst Sci & Technol, Syst Metab Engn & Syst Healthcare Cross Generat C, Daejeon 34141, South Korea
[4] Korea Adv Inst Sci & Technol, BioProc Engn Res Ctr, Daejeon 34141, South Korea
[5] Korea Adv Inst Sci & Technol, BioInformat Res Ctr, Daejeon 34141, South Korea
基金
新加坡国家研究基金会;
关键词
ESCHERICHIA-COLI; BACILLUS-SUBTILIS; GLOBAL RECONSTRUCTION; SYSTEMS-APPROACH; NETWORK; IDENTIFICATION; STRAINS; ELEGANS; CHLAMYDOMONAS; OPTIMIZATION;
D O I
10.1186/s13059-019-1730-3
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Genome-scale metabolic models (GEMs) computationally describe gene-protein-reaction associations for entire metabolic genes in an organism, and can be simulated to predict metabolic fluxes for various systems-level metabolic studies. Since the first GEM for Haemophilus influenzae was reported in 1999, advances have been made to develop and simulate GEMs for an increasing number of organisms across bacteria, archaea, and eukarya. Here, we review current reconstructed GEMs and discuss their applications, including strain development for chemicals and materials production, drug targeting in pathogens, prediction of enzyme functions, pan-reactome analysis, modeling interactions among multiple cells or organisms, and understanding human diseases.
引用
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页数:18
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