Machine learning for identifying antibacterial agents derived from yam (Dioscorea) and elucidating antibacterial mechanisms based on metabolomics.
- DOI
- 10.1016/j.fochx.2026.104437
- Published
- 2026 Oct
- Container
- Food chemistry: X
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.fochx.2026.104437,
title = {Machine learning for identifying antibacterial agents derived from yam (Dioscorea) and elucidating antibacterial mechanisms based on metabolomics.},
author = {Ding J and Chen Y and Jiang T and Gong Y and Yuan S and Guo Y and Cheng Y and Du Y and Yu H and Yao W},
year = {2026},
journal = {Food chemistry: X},
doi = {10.1016/j.fochx.2026.104437},
url = {https://doi.org/10.1016/j.fochx.2026.104437}
}RIS
TY - JOUR TI - Machine learning for identifying antibacterial agents derived from yam (Dioscorea) and elucidating antibacterial mechanisms based on metabolomics. AU - Ding J AU - Chen Y AU - Jiang T AU - Gong Y AU - Yuan S AU - Guo Y AU - Cheng Y AU - Du Y AU - Yu H AU - Yao W PY - 2026 JO - Food chemistry: X DO - 10.1016/j.fochx.2026.104437 UR - https://doi.org/10.1016/j.fochx.2026.104437 ER -
APA
J, D., Y, C., T, J., Y, G., S, Y., Y, G., Y, C., Y, D., H, Y., & W, Y. (2026). Machine learning for identifying antibacterial agents derived from yam (Dioscorea) and elucidating antibacterial mechanisms based on metabolomics.. Food chemistry: X. https://doi.org/10.1016/j.fochx.2026.104437
Source records
- pubmed · retrieved 2026-09-25T16:47:19.194Z