Discovery of a novel natural USP25 inhibitor via an integrated deep learning-guided screening strategy with molecular dynamics validation.
- DOI
- 10.1016/j.ejmech.2026.119337
- Published
- 2026 Sep 17
- Container
- European journal of medicinal chemistry
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.ejmech.2026.119337,
title = {Discovery of a novel natural USP25 inhibitor via an integrated deep learning-guided screening strategy with molecular dynamics validation.},
author = {Li Z and Wang Z and Liu Z},
year = {2026},
journal = {European journal of medicinal chemistry},
doi = {10.1016/j.ejmech.2026.119337},
url = {https://doi.org/10.1016/j.ejmech.2026.119337}
}RIS
TY - JOUR TI - Discovery of a novel natural USP25 inhibitor via an integrated deep learning-guided screening strategy with molecular dynamics validation. AU - Li Z AU - Wang Z AU - Liu Z PY - 2026 JO - European journal of medicinal chemistry DO - 10.1016/j.ejmech.2026.119337 UR - https://doi.org/10.1016/j.ejmech.2026.119337 ER -
APA
Z, L., Z, W., & Z, L. (2026). Discovery of a novel natural USP25 inhibitor via an integrated deep learning-guided screening strategy with molecular dynamics validation.. European journal of medicinal chemistry. https://doi.org/10.1016/j.ejmech.2026.119337
Source records
- pubmed · retrieved 2026-09-25T09:29:18.671Z
- europe-pmc · retrieved 2026-09-25T09:29:18.660Z