Deep Learning as a Compass for Industrial Biocatalysis: The Grase Framework Rewrites the Rules for Polyurethane Recycling
The GRASE deep-learning framework overcomes the enzyme activity-stability trade-off to discover AbPURase, a robust biocatalyst that efficiently depolymerizes polyurethane waste in harsh industrial conditions, enabling scalable, closed-loop chemical recycling.
Authors
- Weiyao Hu
- Linlin Wang (ORCID: https://orcid.org/0000-0002-7014-2149)
- Lijun Wu
- Haibo Zhang
- Fan Wang
Institutions
- Chinese Academy of Sciences (CN)
- Qinghai New Energy (China) (CN)
- Yunnan Academy of Agricultural Sciences (CN)
- Qingdao Institute of Bioenergy and Bioprocess Technology (CN)
Publication Details
- Journal
- Biotechnology Journal
- Published
- 2026-04-01
- DOI
- https://doi.org/10.1002/biot.70222
- Primary Topic
- Microplastics and Plastic Pollution
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China