The DOI matches its Crossref record; 176 of the 176 references it cites were found in a registry or an index.
Current status and applications of genome-scale metabolic models
Open accessAbstract
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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Cited by
Reconstructing organisms in silico: genome-scale models and their emerging applications
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Metadata
- Authors
- Gu, C., Kim, G. B., Kim, W. J., Kim, H. U., & Lee, S. Y.
- Venue
- Genome Biology
- Published
- 2019-06-13
- Volume
- 20
- Issue
- 1
- Pages
- 121-121
- ISSN
- 1465-6906 (ISSN-L)
- 1474-760X
- OpenAlex
- W2952015518
- Cited by
- 785
- References
- 176
- FWCI
- 23.06
- Type
- journal article
- Language
- en
- Open access
- gold
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