Quantitative analysis of antimicrobial peptide efficacy using AFM-based nanomechanics and machine learning models.
- DOI
- 10.1016/j.micron.2026.104134
- Published
- 2026 Oct 13
- Container
- Micron (Oxford, England : 1993)
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.micron.2026.104134,
title = {Quantitative analysis of antimicrobial peptide efficacy using AFM-based nanomechanics and machine learning models.},
author = {Wang Y and Zhang S and Dong L and Tian L and Yi T and Zhou G and Zeng J and Li J and Hu W and Hu C and Liu Y},
year = {2026},
journal = {Micron (Oxford, England : 1993)},
doi = {10.1016/j.micron.2026.104134},
url = {https://doi.org/10.1016/j.micron.2026.104134}
}RIS
TY - JOUR TI - Quantitative analysis of antimicrobial peptide efficacy using AFM-based nanomechanics and machine learning models. AU - Wang Y AU - Zhang S AU - Dong L AU - Tian L AU - Yi T AU - Zhou G AU - Zeng J AU - Li J AU - Hu W AU - Hu C AU - Liu Y PY - 2026 JO - Micron (Oxford, England : 1993) DO - 10.1016/j.micron.2026.104134 UR - https://doi.org/10.1016/j.micron.2026.104134 ER -
APA
Y, W., S, Z., L, D., L, T., T, Y., G, Z., J, Z., J, L., W, H., C, H., & Y, L. (2026). Quantitative analysis of antimicrobial peptide efficacy using AFM-based nanomechanics and machine learning models.. Micron (Oxford, England : 1993). https://doi.org/10.1016/j.micron.2026.104134
Source records
- pubmed · retrieved 2026-11-10T11:31:37.647Z