BiologyNature Catalysis
Generative machine learning produces kinetic models that accurately characterize intracellular metabolic states
S. Choudhury, B. Narayanan, et al.
Unlocking the secrets of metabolic states in *Escherichia coli* just got easier! Researchers Subham Choudhury, Bharath Narayanan, Michael Moret, Vassily Hatzimanikatis, and Ljubisa Miskovic introduce RENAISSANCE, a groundbreaking machine learning framework that harnesses the power of omics data to accurately characterize metabolic processes. This study offers a powerful new tool for those exploring metabolic variations in health and biotechnology.
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