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I am happy to share that the work from Daniil Lepikhov, Laura Sandner and me to predict Michaelis constants (Km) for enzyme-substrate complexes using deep learning is now available at Digital Discovery! #compchem pubs.rsc.org/en/Content/A...
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The Michaelis constant (KM) is a key parameter in enzymology. Its experimental measurement is often low-throughput and costly, but machine learning can identify patterns to make predictions in a high-...
pubs.rsc.org
Leveraging active site information for deep learning prediction of enzyme–substrate Michaelis constants
Ariane Nunes Alves