Artificial intelligence in traditional Chinese medicine: advances in multi-metabolite multi-target interaction modeling

Yu Li, Xiangjun Liu, Jingwen Zhou, Fengjiao Li, Yuting Wang, Qingzhong Liu

Open source

DOI: 10.3389/fphar.2025.1541509
Published: 2025-04-15
Container: Frontiers in Pharmacology
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fphar.2025.1541509,
  title = {Artificial intelligence in traditional Chinese medicine: advances in multi-metabolite multi-target interaction modeling},
  author = {Yu Li and Xiangjun Liu and Jingwen Zhou and Fengjiao Li and Yuting Wang and Qingzhong Liu},
  year = {2025},
  journal = {Frontiers in Pharmacology},
  doi = {10.3389/fphar.2025.1541509},
  url = {https://doi.org/10.3389/fphar.2025.1541509}
}

RIS

TY  - JOUR
TI  - Artificial intelligence in traditional Chinese medicine: advances in multi-metabolite multi-target interaction modeling
AU  - Yu Li
AU  - Xiangjun Liu
AU  - Jingwen Zhou
AU  - Fengjiao Li
AU  - Yuting Wang
AU  - Qingzhong Liu
PY  - 2025
JO  - Frontiers in Pharmacology
DO  - 10.3389/fphar.2025.1541509
UR  - https://doi.org/10.3389/fphar.2025.1541509
ER  -

APA

Li, Y., Liu, X., Zhou, J., Li, F., Wang, Y., & Liu, Q. (2025). Artificial intelligence in traditional Chinese medicine: advances in multi-metabolite multi-target interaction modeling. Frontiers in Pharmacology. https://doi.org/10.3389/fphar.2025.1541509

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crossref · retrieved 2026-09-25T04:57:58.362Z