Current status and applications of genome-scale metabolic models

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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.
Publisher
BMC
Issue Date
2019-06
Language
English
Article Type
Review
Citation

GENOME BIOLOGY, v.20

ISSN
1474-760X
DOI
10.1186/s13059-019-1730-3
URI
http://hdl.handle.net/10203/262944
Appears in Collection
CBE-Journal Papers(저널논문)
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