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2021-10-20

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cc-by (c) Antolin, Albert A. et al., 2021
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/184294

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

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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.

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Cinètica enzimàtica, Intel·ligència artificial

Subject (English)

Enzyme kinetics, Artificial intelligence

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Articles publicats en revistes (Bioquímica i Biomedicina Molecular)

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ANTOLIN, Albert A. and CASCANTE I SERRATOSA, Marta. AI delivers Michaelis constants as fuel for genome-scale metabolic models. PLoS Biology. 2021. Vol. 19, num. 10, pags. e3001415. ISSN 1544-9173. [consulted: 9 of June of 2026]. Available at: https://hdl.handle.net/2445/184294

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