Systematic Mining of Bioactive Compounds for Wound Healing From Cayratia Japonica Exosome-Like Nanovesicles: A Workflow Combining LC-MS and DeepSeek Models.
- DOI
- 10.2196/80539
- Published
- 2026 Jan 8
- Container
- JMIR bioinformatics and biotechnology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.2196/80539,
title = {Systematic Mining of Bioactive Compounds for Wound Healing From Cayratia Japonica Exosome-Like Nanovesicles: A Workflow Combining LC-MS and DeepSeek Models.},
author = {Fu Q and Ji W and Fan YP and Yao J and Song MX and Yan QJ},
year = {2026},
journal = {JMIR bioinformatics and biotechnology},
doi = {10.2196/80539},
url = {https://doi.org/10.2196/80539}
}RIS
TY - JOUR TI - Systematic Mining of Bioactive Compounds for Wound Healing From Cayratia Japonica Exosome-Like Nanovesicles: A Workflow Combining LC-MS and DeepSeek Models. AU - Fu Q AU - Ji W AU - Fan YP AU - Yao J AU - Song MX AU - Yan QJ PY - 2026 JO - JMIR bioinformatics and biotechnology DO - 10.2196/80539 UR - https://doi.org/10.2196/80539 ER -
APA
Q, F., W, J., YP, F., J, Y., MX, S., & QJ, Y. (2026). Systematic Mining of Bioactive Compounds for Wound Healing From Cayratia Japonica Exosome-Like Nanovesicles: A Workflow Combining LC-MS and DeepSeek Models.. JMIR bioinformatics and biotechnology. https://doi.org/10.2196/80539
Source records
- pubmed · retrieved 2026-09-25T12:19:34.195Z