Leveraging metabolic similarity in a (1)H NMR database of medicinal plants to advance pharmacognostic insights.
- DOI
- 10.1038/s41598-026-37725-2
- Published
- 2026 Jan 30
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-37725-2,
title = {Leveraging metabolic similarity in a (1)H NMR database of medicinal plants to advance pharmacognostic insights.},
author = {Seo S and Erol Ö and Kim HK and van Mil HGJ and Jung J and Jang YP and Lee DY and Wang M and Sheridan H and Han SB and Choi YH},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-37725-2},
url = {https://doi.org/10.1038/s41598-026-37725-2}
}RIS
TY - JOUR TI - Leveraging metabolic similarity in a (1)H NMR database of medicinal plants to advance pharmacognostic insights. AU - Seo S AU - Erol Ö AU - Kim HK AU - van Mil HGJ AU - Jung J AU - Jang YP AU - Lee DY AU - Wang M AU - Sheridan H AU - Han SB AU - Choi YH PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-37725-2 UR - https://doi.org/10.1038/s41598-026-37725-2 ER -
APA
S, S., Ö, E., HK, K., HGJ, V. M., J, J., YP, J., DY, L., M, W., H, S., SB, H., & YH, C. (2026). Leveraging metabolic similarity in a (1)H NMR database of medicinal plants to advance pharmacognostic insights.. Scientific reports. https://doi.org/10.1038/s41598-026-37725-2
Source records
- pubmed · retrieved 2026-09-25T20:08:52.562Z