Antolin, Albert A. and Cascante, Marta (2021) AI delivers Michaelis constants as fuel for genome-scale metabolic models. PLOS Biology, 19 (10). e3001415. ISSN 1545-7885
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Official URL: https://doi.org/10.1371/journal.pbio.3001415
Abstract
Michaelis constants (Km) 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 Km on a proteome-wide scale, paving the way for dynamic, genome-wide modeling of metabolism.
| Item Type: | Article |
|---|---|
| Subjects: | Institute Archives > Biological Science |
| Depositing User: | Managing Editor |
| Date Deposited: | 21 Jan 2023 04:39 |
| Last Modified: | 07 Mar 2024 03:55 |
| URI: | http://eprint.subtopublish.com/id/eprint/1256 |
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