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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....
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| 出版年: | Nat Commun |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Publishing Group UK
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7272419/ https://ncbi.nlm.nih.gov/pubmed/32499584 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-020-16549-2 |
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