UNKAI: A Protein Functional Identity Prediction Model Based on ESM-C Latent Representations and the Attention Mechanism.

Ukai K, Fujita S, Terada T

DOI: 10.34133/csbj.0206
Published: 2026
Container: Computational and structural biotechnology journal
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.34133/csbj.0206,
  title = {UNKAI: A Protein Functional Identity Prediction Model Based on ESM-C Latent Representations and the Attention Mechanism.},
  author = {Ukai K and Fujita S and Terada T},
  year = {2026},
  journal = {Computational and structural biotechnology journal},
  doi = {10.34133/csbj.0206},
  url = {https://doi.org/10.34133/csbj.0206}
}

RIS

TY  - JOUR
TI  - UNKAI: A Protein Functional Identity Prediction Model Based on ESM-C Latent Representations and the Attention Mechanism.
AU  - Ukai K
AU  - Fujita S
AU  - Terada T
PY  - 2026
JO  - Computational and structural biotechnology journal
DO  - 10.34133/csbj.0206
UR  - https://doi.org/10.34133/csbj.0206
ER  -

APA

K, U., S, F., & T, T. (2026). UNKAI: A Protein Functional Identity Prediction Model Based on ESM-C Latent Representations and the Attention Mechanism.. Computational and structural biotechnology journal. https://doi.org/10.34133/csbj.0206

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pubmed · retrieved 2026-09-26T23:29:17.256Z