This research explores Machine learning-aided engineering of hydrolases for PET dep..., contributing new insights to the field of Engineering & Technology.
These innovations can translate to real-world improvements in technology, infrastructure, and everyday tools.
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| Category | ⚙️ Engineering & Technology |
| Published | Apr 27, 2022 |
| Journal | Nature |
| Authors | Hongyuan Lu, Daniel J. Diaz, Natalie J. Czarnecki, Congzhi Zhu, Wantae Kim |
| DOI | 10.1038/s41586-022-04599-z |
| Citations | 1,139 |
| Source | OpenAlex |