Abstract:
: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.
journal_name
Genome Bioljournal_title
Genome biologyauthors
Gu C,Kim GB,Kim WJ,Kim HU,Lee SYdoi
10.1186/s13059-019-1730-3subject
Has Abstractpub_date
2019-06-13 00:00:00pages
121issue
1eissn
1474-7596issn
1474-760Xpii
10.1186/s13059-019-1730-3journal_volume
20pub_type
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