From generation to validation: Deep generative models for antimicrobial peptide discovery.
- DOI
- 10.1016/j.cbpa.2026.102685
- Published
- 2026-04-28
- Container
- Curr Opin Chem Biol
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.cbpa.2026.102685,
title = {From generation to validation: Deep generative models for antimicrobial peptide discovery.},
author = {Sun Z and Wang X and Kuang S and Song J and de la Fuente-Nunez C.},
year = {2026},
journal = {Curr Opin Chem Biol},
doi = {10.1016/j.cbpa.2026.102685},
url = {https://doi.org/10.1016/j.cbpa.2026.102685}
}RIS
TY - JOUR TI - From generation to validation: Deep generative models for antimicrobial peptide discovery. AU - Sun Z AU - Wang X AU - Kuang S AU - Song J AU - de la Fuente-Nunez C. PY - 2026 JO - Curr Opin Chem Biol DO - 10.1016/j.cbpa.2026.102685 UR - https://doi.org/10.1016/j.cbpa.2026.102685 ER -
APA
Z, S., X, W., S, K., J, S., & C., D. L. F. (2026). From generation to validation: Deep generative models for antimicrobial peptide discovery.. Curr Opin Chem Biol. https://doi.org/10.1016/j.cbpa.2026.102685
Source records
- europe-pmc · retrieved 2026-09-25T13:14:27.205Z