AI delivers Michaelis constants as fuel for genome-scale metabolic models
| dc.contributor.author | Antolin, Albert A. | |
| dc.contributor.author | Cascante i Serratosa, Marta | |
| dc.date.accessioned | 2022-03-21T18:13:02Z | |
| dc.date.available | 2022-03-21T18:13:02Z | |
| dc.date.issued | 2021-10-20 | |
| dc.date.updated | 2022-03-21T18:13:02Z | |
| dc.description.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. | |
| dc.format.extent | 4 p. | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.idgrec | 717408 | |
| dc.identifier.issn | 1544-9173 | |
| dc.identifier.uri | https://hdl.handle.net/2445/184294 | |
| dc.language.iso | eng | |
| dc.publisher | Public Library of Science (PLoS) | |
| dc.relation.isformatof | Reproducció del document publicat a: https://doi.org/10.1371/journal.pbio.3001415 | |
| dc.relation.ispartof | PLoS Biology, 2021, vol. 19, num. 10, p. e3001415 | |
| dc.relation.uri | https://doi.org/10.1371/journal.pbio.3001415 | |
| dc.rights | cc-by (c) Antolin, Albert A. et al., 2021 | |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.source | Articles publicats en revistes (Bioquímica i Biomedicina Molecular) | |
| dc.subject.classification | Cinètica enzimàtica | |
| dc.subject.classification | Intel·ligència artificial | |
| dc.subject.other | Enzyme kinetics | |
| dc.subject.other | Artificial intelligence | |
| dc.title | AI delivers Michaelis constants as fuel for genome-scale metabolic models | |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:eu-repo/semantics/publishedVersion |
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