AI delivers Michaelis constants as fuel for genome-scale metabolic models.

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.

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Detalles Bibliográficos
Autores principales:	Albert A Antolin, Marta Cascante
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/d48d636199744821bf2829e128f6ac9e
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spelling	oai:doaj.org-article:d48d636199744821bf2829e128f6ac9e2021-11-25T05:34:15ZAI delivers Michaelis constants as fuel for genome-scale metabolic models.1544-91731545-788510.1371/journal.pbio.3001415https://doaj.org/article/d48d636199744821bf2829e128f6ac9e2021-10-01T00:00:00Zhttps://doi.org/10.1371/journal.pbio.3001415https://doaj.org/toc/1544-9173https://doaj.org/toc/1545-7885Michaelis 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.Albert A AntolinMarta CascantePublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Biology, Vol 19, Iss 10, p e3001415 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Albert A Antolin Marta Cascante AI delivers Michaelis constants as fuel for genome-scale metabolic models.
description	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.
format	article
author	Albert A Antolin Marta Cascante
author_facet	Albert A Antolin Marta Cascante
author_sort	Albert A Antolin
title	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_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_sort	ai delivers michaelis constants as fuel for genome-scale metabolic models.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/d48d636199744821bf2829e128f6ac9e
work_keys_str_mv	AT albertaantolin aideliversmichaelisconstantsasfuelforgenomescalemetabolicmodels AT martacascante aideliversmichaelisconstantsasfuelforgenomescalemetabolicmodels
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AI delivers Michaelis constants as fuel for genome-scale metabolic models.

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