Target-driven machine learning-enabled virtual screening (TAME-VS) enables prioritization of AKR1C3 inhibitors.
- DOI
- 10.1038/s42004-026-02092-6
- Published
- 2026 Jun 15
- Container
- Communications chemistry
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s42004-026-02092-6,
title = {Target-driven machine learning-enabled virtual screening (TAME-VS) enables prioritization of AKR1C3 inhibitors.},
author = {Qiao L and Li X and Xing S and Guan Q and Ning K and Han W and Zhang L and Dai A and Yang W and Liu Y and Kwon JJ and Gao X and Sun H and Bian Y},
year = {2026},
journal = {Communications chemistry},
doi = {10.1038/s42004-026-02092-6},
url = {https://doi.org/10.1038/s42004-026-02092-6}
}RIS
TY - JOUR TI - Target-driven machine learning-enabled virtual screening (TAME-VS) enables prioritization of AKR1C3 inhibitors. AU - Qiao L AU - Li X AU - Xing S AU - Guan Q AU - Ning K AU - Han W AU - Zhang L AU - Dai A AU - Yang W AU - Liu Y AU - Kwon JJ AU - Gao X AU - Sun H AU - Bian Y PY - 2026 JO - Communications chemistry DO - 10.1038/s42004-026-02092-6 UR - https://doi.org/10.1038/s42004-026-02092-6 ER -
APA
L, Q., X, L., S, X., Q, G., K, N., W, H., L, Z., A, D., W, Y., Y, L., JJ, K., X, G., H, S., & Y, B. (2026). Target-driven machine learning-enabled virtual screening (TAME-VS) enables prioritization of AKR1C3 inhibitors.. Communications chemistry. https://doi.org/10.1038/s42004-026-02092-6
Source records
- pubmed · retrieved 2026-09-26T12:08:17.786Z