Turnover number predictions for kinetically uncharacterized enzymes using machine and deep learning
Abstract The turnover number k cat, a measure of enzyme efficiency, is central to understanding cellular physiology and resource allocation. As experimental k cat estimates are unavailable for the vast majority of enzymatic reactions, the development of accurate computational prediction methods is h...
| 出版年: | Nature Communications |
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| 主要な著者: | , , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
Nature Portfolio
2023-07-01
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| オンライン･アクセス: | https://doi.org/10.1038/s41467-023-39840-4 |