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

Albert A Antolin; Marta Cascante

doi:10.1371/journal.pbio.3001415

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

PLoS Biol. 2021 Oct 20;19(10):e3001415. doi: 10.1371/journal.pbio.3001415. eCollection 2021 Oct.

Authors

Albert A Antolin^{1

2}, Marta Cascante^{3

4}

Affiliations

¹ Department of Data Science, The Institute of Cancer Research, London, United Kingdom.
² Division of Cancer Therapeutics, The Institute of Cancer Research, London, United Kingdom.
³ Department of Biochemistry and Molecular Biomedicine & Institute of Biomedicine of Universitat de Barcelona, Faculty of Biology, Universitat de Barcelona, Barcelona, Spain.
⁴ Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD) and Metabolomics node at Spanish National Bioinformatics Institute (INB-ISCIII-ES-ELIXIR), Instituto de Salud Carlos III (ISCIII), Madrid, Spain.

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.

Publication types

Research Support, Non-U.S. Gov't
Comment

MeSH terms

Artificial Intelligence*

Grant support

A.A.A. is primarily supported by an ICR Fellowship of the Institute of Cancer Research in London, UK. M.C. acknowledge support from the European Commission (HaemMetabolome [EC-675790]); Spanish Ministerio de Economia y Competitividad (MINECO) and Ministerio de Ciencia e Innovación -European Commission FEDER funds—“Una manera de hacer Europa” (SAF2017-89673-R and PID2020-115051RB-I00), the Agència de Gestió d’Ajuts Universitaris i de Recerca (AGAUR) Generalitat de Catalunya (2017SGR1033) and CIBERehd (CB17/04/00023) (ISCIII, Spain). M.C. also received support through the prize “ICREA Academia” for excellence in research, funded by ICREA foundation–Generalitat de Catalunya. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.