The future of peptide ADMET prediction: Leveraging AI to unlock new possibilities.

Liu Q, Tan X, Xie F, Ouyang D, Zeng W, Dong J

DOI: 10.1016/j.drudis.2026.104809
Published: 2026 Sep 21
Container: Drug discovery today
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1016/j.drudis.2026.104809,
  title = {The future of peptide ADMET prediction: Leveraging AI to unlock new possibilities.},
  author = {Liu Q and Tan X and Xie F and Ouyang D and Zeng W and Dong J},
  year = {2026},
  journal = {Drug discovery today},
  doi = {10.1016/j.drudis.2026.104809},
  url = {https://doi.org/10.1016/j.drudis.2026.104809}
}

RIS

TY  - JOUR
TI  - The future of peptide ADMET prediction: Leveraging AI to unlock new possibilities.
AU  - Liu Q
AU  - Tan X
AU  - Xie F
AU  - Ouyang D
AU  - Zeng W
AU  - Dong J
PY  - 2026
JO  - Drug discovery today
DO  - 10.1016/j.drudis.2026.104809
UR  - https://doi.org/10.1016/j.drudis.2026.104809
ER  -

APA

Q, L., X, T., F, X., D, O., W, Z., & J, D. (2026). The future of peptide ADMET prediction: Leveraging AI to unlock new possibilities.. Drug discovery today. https://doi.org/10.1016/j.drudis.2026.104809

Source records

pubmed · retrieved 2026-09-25T18:46:49.157Z
europe-pmc · retrieved 2026-09-25T18:46:49.143Z