Journal
GENOME BIOLOGY
Volume 20, Issue -, Pages -Publisher
BMC
DOI: 10.1186/s13059-019-1730-3
Keywords
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Funding
- Technology Development Program to Solve Climate Changes on Systems Metabolic Engineering for Biorefineries [NRF-2012M1A2A2026556, NRF-2012M1A2A2026557]
- Ministry of Science and ICT (MSIT) through the National Research Foundation (NRF) of Korea [2018M3A9F3079664]
- National Research Foundation of Korea [2018M3A9F3079664] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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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.
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