Deep learning allows genome-scale prediction of Michaelis constants from structural features.
The Michaelis constant KM describes the affinity of an enzyme for a specific substrate and is a central parameter in studies of enzyme kinetics and cellular physiology. As measurements of KM are often difficult and time-consuming, experimental estimates exist for only a minority of enzyme-substrate...
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| Auteurs principaux: | , , , |
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| Format: | article |
| Langue: | EN |
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Public Library of Science (PLoS)
2021
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| Accès en ligne: | https://doaj.org/article/e744724226e24f99b89ce9de3626d7c7 |
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