A Modular Chemoenzymatic Cascade Simplifies Divergent Synthesis of Natural and Unnatural Benzylisoquinoline Alkaloids
Conventional chemical or biological synthetic methods often encounter challenges in conveniently preparing chiral natural and unnatural products with the same skeleton at a scalable level, due to their complexity with numerous chiral centers or uncharacterized enzymes. Herein, a simplified modular chemoenzymatic platform is designed featuring a streamlined four-enzyme cascade coupled with a chemical module that involves one or two chemical steps. This platform enables the divergent synthesis of structurally diverse natural and unnatural benzylisoquinoline alkaloids (BIAs), including 1-benzylisoquinoline, protoberberine, morphinan, and aporphine alkaloids. Moreover, the enantioselectivity of the chiral BIAs is up to 99% ee. The titer of papaverine reaches an impressive 2.83 g L<sup>-1</sup>, demonstrating substantial industrial potential. Overall, this work establishes a paradigm for constructing modular chemoenzymatic platforms that simplify the production of structurally diverse natural and unnatural products for drug development.
Authors
- Zhiwei Deng (ORCID: https://orcid.org/0000-0003-2479-6050)
- Yijian Rao (ORCID: https://orcid.org/0000-0003-2481-0588)
- Zhenbo Yuan (ORCID: https://orcid.org/0000-0002-2435-0318)
- Zhengshan Luo (ORCID: https://orcid.org/0000-0002-3087-5663)
- Huiling Liu (ORCID: https://orcid.org/0000-0002-7443-6697)
- Chang‐Mei Liu (ORCID: https://orcid.org/0000-0002-2941-4667)
- Yan Zhang (ORCID: https://orcid.org/0000-0002-4941-8622)
- Yue Gao (ORCID: https://orcid.org/0000-0002-3613-1980)
- Fei Li (ORCID: https://orcid.org/0000-0002-0532-9054)
Institutions
- Jiangnan University (CN)
- Nanjing University of Chinese Medicine (CN)
- Fujian Agriculture and Forestry University (CN)
Publication Details
- Journal
- Advanced Science
- Published
- 2025-10-20
- DOI
- https://doi.org/10.1002/advs.202513926
- Citations
- 3
- Primary Topic
- Alkaloids: synthesis and pharmacology
- Type
- article
- Field-Weighted Citation Impact
- 4.67
Funders
- National Natural Science Foundation of China
- Government of Jiangsu Province
- Natural Science Foundation of Jiangsu Province
- Fundamental Research Funds for the Central Universities