Generative AI for controllable protein sequence design: A survey.

Zhu Y, Kong Z, Wu J, Yin M, Liu W, Han Y, Xu H, Hsieh CY, Hou T, Wu J

Open source

DOI: 10.1038/s44386-026-00054-5
Published: 2026 Jul 3
Container: npj drug discovery
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s44386-026-00054-5,
  title = {Generative AI for controllable protein sequence design: A survey.},
  author = {Zhu Y and Kong Z and Wu J and Yin M and Liu W and Han Y and Xu H and Hsieh CY and Hou T and Wu J},
  year = {2026},
  journal = {npj drug discovery},
  doi = {10.1038/s44386-026-00054-5},
  url = {https://doi.org/10.1038/s44386-026-00054-5}
}

RIS

TY  - JOUR
TI  - Generative AI for controllable protein sequence design: A survey.
AU  - Zhu Y
AU  - Kong Z
AU  - Wu J
AU  - Yin M
AU  - Liu W
AU  - Han Y
AU  - Xu H
AU  - Hsieh CY
AU  - Hou T
AU  - Wu J
PY  - 2026
JO  - npj drug discovery
DO  - 10.1038/s44386-026-00054-5
UR  - https://doi.org/10.1038/s44386-026-00054-5
ER  -

APA

Y, Z., Z, K., J, W., M, Y., W, L., Y, H., H, X., CY, H., T, H., & J, W. (2026). Generative AI for controllable protein sequence design: A survey.. npj drug discovery. https://doi.org/10.1038/s44386-026-00054-5

Source records

pubmed · retrieved 2026-09-26T08:14:51.725Z
europe-pmc · retrieved 2026-09-26T08:14:51.737Z
doaj · retrieved 2026-09-26T08:14:51.721Z