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AI delivers Michaelis constants as fuel for genome-scale metabolic models
Michaelis constants (K(m)) are essential to predict the catalytic rate of enzymes, but are not widely available. A new study in PLOS Biology uses artificial intelligence (AI) to accurately predict K(m) on a proteome-wide scale, paving the way for dynamic, genome-wide modeling of metabolism.
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528274/ https://www.ncbi.nlm.nih.gov/pubmed/34669692 http://dx.doi.org/10.1371/journal.pbio.3001415 |