ACtriplet: An improved deep learning model for activity cliffs prediction by in tegrating triplet loss and pre-training.

Yu X, Wang Y, Chen L, Li W, Tang Y, Liu G

DOI: 10.1016/j.jpha.2025.101317
Published: 2025 Aug
Container: Journal of pharmaceutical analysis
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.jpha.2025.101317,
  title = {ACtriplet: An improved deep learning model for activity cliffs prediction by in tegrating triplet loss and pre-training.},
  author = {Yu X and Wang Y and Chen L and Li W and Tang Y and Liu G},
  year = {2025},
  journal = {Journal of pharmaceutical analysis},
  doi = {10.1016/j.jpha.2025.101317},
  url = {https://doi.org/10.1016/j.jpha.2025.101317}
}

RIS

TY  - JOUR
TI  - ACtriplet: An improved deep learning model for activity cliffs prediction by in tegrating triplet loss and pre-training.
AU  - Yu X
AU  - Wang Y
AU  - Chen L
AU  - Li W
AU  - Tang Y
AU  - Liu G
PY  - 2025
JO  - Journal of pharmaceutical analysis
DO  - 10.1016/j.jpha.2025.101317
UR  - https://doi.org/10.1016/j.jpha.2025.101317
ER  -

APA

X, Y., Y, W., L, C., W, L., Y, T., & G, L. (2025). ACtriplet: An improved deep learning model for activity cliffs prediction by in tegrating triplet loss and pre-training.. Journal of pharmaceutical analysis. https://doi.org/10.1016/j.jpha.2025.101317

Source records

pubmed · retrieved 2026-09-25T20:19:52.070Z