Machine learning-guided engineering of chalcone synthase enables high-selectivity phloretin biosynthesis in yeast
Machine learning-guided engineering of chalcone synthase effectively overcomes substrate promiscuity, enabling highly selective biosynthesis of phloretin in yeast, and provides a framework for the microbial production of high-value natural products.
Authors
- Wen‐Yong Lou (ORCID: https://orcid.org/0000-0003-3474-3446)
- Wenxi Yu (ORCID: https://orcid.org/0000-0003-0911-2706)
- Yufei Cao (ORCID: https://orcid.org/0000-0002-4742-4009)
- Hui Liang (ORCID: https://orcid.org/0000-0003-2779-5205)
- Minyong Li (ORCID: https://orcid.org/0000-0003-3276-4921)
- Guangjian Li
- Boyu Wu (ORCID: https://orcid.org/0000-0001-6773-9916)
- Canyu Zhang (ORCID: https://orcid.org/0009-0004-3782-4043)
Institutions
- Yunnan University (CN)
- Puer University (CN)
- South China University of Technology (CN)
Publication Details
- Journal
- Green Chemistry
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5gc03435c
- Citations
- 3
- Primary Topic
- Plant Gene Expression Analysis
- Type
- article
- Field-Weighted Citation Impact
- 2.42
Funders
- National Natural Science Foundation of China
- Guangzhou Municipal Science and Technology Project
- National Key Research and Development Program of China
- Fundamental Research Funds for the Central Universities
- Special Project for Research and Development in Key areas of Guangdong Province
- Basic and Applied Basic Research Foundation of Guangdong Province