Deep learning-driven integrated pipeline for de novo design and synthesis of antimicrobial peptides.
- DOI
- 10.1038/s44386-026-00045-6
- Published
- 2026 May 4
- Container
- npj drug discovery
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1038/s44386-026-00045-6,
title = {Deep learning-driven integrated pipeline for de novo design and synthesis of antimicrobial peptides.},
author = {Liu J and Chen Y and Tang J and Xing X and Lin JS and Sun J and Xing XH and Li J and Zhang CY},
year = {2026},
journal = {npj drug discovery},
doi = {10.1038/s44386-026-00045-6},
url = {https://doi.org/10.1038/s44386-026-00045-6}
}RIS
TY - JOUR TI - Deep learning-driven integrated pipeline for de novo design and synthesis of antimicrobial peptides. AU - Liu J AU - Chen Y AU - Tang J AU - Xing X AU - Lin JS AU - Sun J AU - Xing XH AU - Li J AU - Zhang CY PY - 2026 JO - npj drug discovery DO - 10.1038/s44386-026-00045-6 UR - https://doi.org/10.1038/s44386-026-00045-6 ER -
APA
J, L., Y, C., J, T., X, X., JS, L., J, S., XH, X., J, L., & CY, Z. (2026). Deep learning-driven integrated pipeline for de novo design and synthesis of antimicrobial peptides.. npj drug discovery. https://doi.org/10.1038/s44386-026-00045-6
Source records
- pubmed · retrieved 2026-09-26T22:13:53.182Z