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Updated: Oct 16, 2025

High-Throughput Metabolic Profiling for Model Refinements of Microalgae
Published on: December 4, 2021
AI delivers Michaelis constants as fuel for genome-scale metabolic models
Albert A Antolin1,2, Marta Cascante3,4
1Department of Data Science, The Institute of Cancer Research, London, United Kingdom.
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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