Machine learning-powered discovery of a novel berberine derivative inducing SCD-dependent ferroptosis in osteosarcoma
By incorporating machine learning into drug target discovery, we established B1 as a ferroptosis inducer targeting the NEDD4L-SCD axis. Our study provides both a robust therapeutic strategy against chemoresistant osteosarcoma and a compelling blueprint for AI-augmented oncology drug development.
Authors
- Yanquan Wang
- Ye Yuan (ORCID: https://orcid.org/0000-0001-5722-1291)
- Jiajie Xie
- Mingyu He (ORCID: https://orcid.org/0000-0003-1414-0365)
- Ying Liu (ORCID: https://orcid.org/0000-0002-6540-0473)
- Yanyan Liu (ORCID: https://orcid.org/0000-0002-3887-0840)
- Tao Li (ORCID: https://orcid.org/0000-0002-5108-1774)
- Ao Wang (ORCID: https://orcid.org/0000-0003-2137-7029)
- Zhimin Du (ORCID: https://orcid.org/0000-0002-0346-2863)
- Min Cui
- Xinyue Wang (ORCID: https://orcid.org/0000-0002-5837-5361)
Institutions
- Macau University of Science and Technology (MO)
- Harbin Medical University (CN)
- Zhuhai People's Hospital (CN)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2025-11-20
- DOI
- https://doi.org/10.1186/s12967-025-07358-6
- Citations
- 1
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 1.52