Machine learning differentiates enzymatic and non-enzymatic metals in proteins
The authors generate the largest structural dataset of enzymatic and non-enzymatic metalloprotein sites to date. They use this dataset to train a decision-tree ensemble machine learning algorithm that allows them to distinguish between catalytic and non-catalytic metal sites. The computational model...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2021-06-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-021-24070-3 |