Descriptor-augmented machine learning for enzyme-chemical interaction predictions
Descriptors play a pivotal role in enzyme design for the greener synthesis of biochemicals, as they could characterize enzymes and chemicals from the physicochemical and evolutionary perspective. This study examined the effects of various descriptors on the performance of Random Forest model used fo...
| Главные авторы: | , , , , , |
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| Формат: | Статья |
| Язык: | English |
| Опубликовано: |
KeAi Communications Co., Ltd.
2024-06-01
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| Серии: | Synthetic and Systems Biotechnology |
| Предметы: | |
| Online-ссылка: | http://www.sciencedirect.com/science/article/pii/S2405805X24000310 |