Artificial Intelligence-Powered High-Content Analysis: Methodologies and Applications in Bioactive Compound Discovery from Natural Sources
- DOI
- 10.3390/molecules31173075
- Published
- 2026-09-01
- Container
- Molecules
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/molecules31173075,
title = {Artificial Intelligence-Powered High-Content Analysis: Methodologies and Applications in Bioactive Compound Discovery from Natural Sources},
author = {Dejin Xun and Zuyong Zhang and Han Wang and Yingchao Wang and Xiaohui Fan and Yi Wang},
year = {2026},
journal = {Molecules},
doi = {10.3390/molecules31173075},
url = {https://doi.org/10.3390/molecules31173075}
}RIS
TY - JOUR TI - Artificial Intelligence-Powered High-Content Analysis: Methodologies and Applications in Bioactive Compound Discovery from Natural Sources AU - Dejin Xun AU - Zuyong Zhang AU - Han Wang AU - Yingchao Wang AU - Xiaohui Fan AU - Yi Wang PY - 2026 JO - Molecules DO - 10.3390/molecules31173075 UR - https://doi.org/10.3390/molecules31173075 ER -
APA
Xun, D., Zhang, Z., Wang, H., Wang, Y., Fan, X., & Wang, Y. (2026). Artificial Intelligence-Powered High-Content Analysis: Methodologies and Applications in Bioactive Compound Discovery from Natural Sources. Molecules. https://doi.org/10.3390/molecules31173075
Source records
- crossref · retrieved 2026-09-24T23:39:20.345Z