Artificial Intelligence-Driven Nanobody Engineering for Pathogen Recognition: From Functional Epitope Prioritization to Multimodal Foundation Models.

Hu RS, Ehsan M, Luo W, Zhou J, Xiao YL, Wang HX, Li CY, Gu K

DOI: 10.3390/biom16101479
Published: 2026 Oct 11
Container: Biomolecules
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/biom16101479,
  title = {Artificial Intelligence-Driven Nanobody Engineering for Pathogen Recognition: From Functional Epitope Prioritization to Multimodal Foundation Models.},
  author = {Hu RS and Ehsan M and Luo W and Zhou J and Xiao YL and Wang HX and Li CY and Gu K},
  year = {2026},
  journal = {Biomolecules},
  doi = {10.3390/biom16101479},
  url = {https://doi.org/10.3390/biom16101479}
}

RIS

TY  - JOUR
TI  - Artificial Intelligence-Driven Nanobody Engineering for Pathogen Recognition: From Functional Epitope Prioritization to Multimodal Foundation Models.
AU  - Hu RS
AU  - Ehsan M
AU  - Luo W
AU  - Zhou J
AU  - Xiao YL
AU  - Wang HX
AU  - Li CY
AU  - Gu K
PY  - 2026
JO  - Biomolecules
DO  - 10.3390/biom16101479
UR  - https://doi.org/10.3390/biom16101479
ER  -

APA

RS, H., M, E., W, L., J, Z., YL, X., HX, W., CY, L., & K, G. (2026). Artificial Intelligence-Driven Nanobody Engineering for Pathogen Recognition: From Functional Epitope Prioritization to Multimodal Foundation Models.. Biomolecules. https://doi.org/10.3390/biom16101479

Source records

pubmed · retrieved 2026-11-10T10:12:39.853Z