Systematic Mining of Bioactive Compounds for Wound Healing From Cayratia Japonica Exosome-Like Nanovesicles: A Workflow Combining LC-MS and DeepSeek Models
A self-designed multimodal framework of LC-MS, combined with DeepSeek models, rapidly and accurately identifies naturally active compounds from CJ-ELNs. This AI-powered system innovatively integrates the traditional analytical technique with modern LLMs, thus greatly favoring data mining of active ingredients in traditional Chinese medicine herbs.
Authors
- Qiaojing Yan
- Yuping Fan (ORCID: https://orcid.org/0000-0003-3929-132X)
- Qiang Fu
- Jian Yao
- Wei Ji
- Ming-Xia Song
Institutions
- Jinggangshan University (CN)
- Université de Montpellier (FR)
- University of Yamanashi (JP)
- Southeast University (CN)
Publication Details
- Journal
- JMIR Bioinformatics and Biotechnology
- Published
- 2026-01-08
- DOI
- https://doi.org/10.2196/80539
- Primary Topic
- Extracellular vesicles in disease
- Type
- article
- Field-Weighted Citation Impact
- 0.00