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AI delivers Michaelis constants as fuel for genome-scale metabolic models.
Antolin, Albert A; Cascante, Marta.
Affiliation
  • Antolin AA; Department of Data Science, The Institute of Cancer Research, London, United Kingdom.
  • Cascante M; Division of Cancer Therapeutics, The Institute of Cancer Research, London, United Kingdom.
PLoS Biol ; 19(10): e3001415, 2021 10.
Article in En | MEDLINE | ID: mdl-34669692
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence Type of study: Prognostic_studies Language: En Journal: PLoS Biol Journal subject: BIOLOGIA Year: 2021 Document type: Article Affiliation country: United kingdom
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence Type of study: Prognostic_studies Language: En Journal: PLoS Biol Journal subject: BIOLOGIA Year: 2021 Document type: Article Affiliation country: United kingdom