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Analysis of human metabolism by reducing the complexity of the genome-scale models using redHUMAN
Altered metabolism is associated with many human diseases. Human genome-scale metabolic models (GEMs) were reconstructed within systems biology to study the biochemistry occurring in human cells. However, the complexity of these networks hinders a consistent and concise physiological representation....
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7272419/ https://www.ncbi.nlm.nih.gov/pubmed/32499584 http://dx.doi.org/10.1038/s41467-020-16549-2 |