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.

Detalles Bibliográficos
Autores principales: Antolin, Albert A., Cascante, Marta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Primer
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
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author Antolin, Albert A.
Cascante, Marta
author_facet Antolin, Albert A.
Cascante, Marta
author_sort Antolin, Albert A.
collection PubMed
description 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.
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spelling pubmed-85282742021-10-21 AI delivers Michaelis constants as fuel for genome-scale metabolic models Antolin, Albert A. Cascante, Marta PLoS Biol Primer 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. Public Library of Science 2021-10-20 /pmc/articles/PMC8528274/ /pubmed/34669692 http://dx.doi.org/10.1371/journal.pbio.3001415 Text en © 2021 Antolin, Cascante https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Primer
Antolin, Albert A.
Cascante, Marta
AI delivers Michaelis constants as fuel for genome-scale metabolic models
title AI delivers Michaelis constants as fuel for genome-scale metabolic models
title_full AI delivers Michaelis constants as fuel for genome-scale metabolic models
title_fullStr AI delivers Michaelis constants as fuel for genome-scale metabolic models
title_full_unstemmed AI delivers Michaelis constants as fuel for genome-scale metabolic models
title_short AI delivers Michaelis constants as fuel for genome-scale metabolic models
title_sort ai delivers michaelis constants as fuel for genome-scale metabolic models
topic Primer
url 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
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