Artificial intelligence-driven identification and mechanistic exploration of synergistic anti-aging compounds from Dengzhan Shengmai formulation.

Hou J, Li X, Gu M, Ding K, Yang K, Xu B.

DOI: 10.1371/journal.pone.0356888
Published: 2026-09-08
Container: PLoS One
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0356888,
  title = {Artificial intelligence-driven identification and mechanistic exploration of synergistic anti-aging compounds from Dengzhan Shengmai formulation.},
  author = {Hou J and  Li X and  Gu M and  Ding K and  Yang K and  Xu B.},
  year = {2026},
  journal = {PLoS One},
  doi = {10.1371/journal.pone.0356888},
  url = {https://doi.org/10.1371/journal.pone.0356888}
}

RIS

TY  - JOUR
TI  - Artificial intelligence-driven identification and mechanistic exploration of synergistic anti-aging compounds from Dengzhan Shengmai formulation.
AU  - Hou J
AU  -  Li X
AU  -  Gu M
AU  -  Ding K
AU  -  Yang K
AU  -  Xu B.
PY  - 2026
JO  - PLoS One
DO  - 10.1371/journal.pone.0356888
UR  - https://doi.org/10.1371/journal.pone.0356888
ER  -

APA

J, H., X, L., M, G., K, D., K, Y., & B., X. (2026). Artificial intelligence-driven identification and mechanistic exploration of synergistic anti-aging compounds from Dengzhan Shengmai formulation.. PLoS One. https://doi.org/10.1371/journal.pone.0356888

Source records

europe-pmc · retrieved 2026-09-27T02:01:56.656Z