EZpred: Improving Deep Learning-Based Enzyme Function Prediction Using Unlabeled Sequence Homologs.

Zhang C, Liu Q, Freddolino L

DOI: 10.1002/advs.78703
Published: 2026 Nov 10
Container: Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/advs.78703,
  title = {EZpred: Improving Deep Learning-Based Enzyme Function Prediction Using Unlabeled Sequence Homologs.},
  author = {Zhang C and Liu Q and Freddolino L},
  year = {2026},
  journal = {Advanced science (Weinheim, Baden-Wurttemberg, Germany)},
  doi = {10.1002/advs.78703},
  url = {https://doi.org/10.1002/advs.78703}
}

RIS

TY  - JOUR
TI  - EZpred: Improving Deep Learning-Based Enzyme Function Prediction Using Unlabeled Sequence Homologs.
AU  - Zhang C
AU  - Liu Q
AU  - Freddolino L
PY  - 2026
JO  - Advanced science (Weinheim, Baden-Wurttemberg, Germany)
DO  - 10.1002/advs.78703
UR  - https://doi.org/10.1002/advs.78703
ER  -

APA

C, Z., Q, L., & L, F. (2026). EZpred: Improving Deep Learning-Based Enzyme Function Prediction Using Unlabeled Sequence Homologs.. Advanced science (Weinheim, Baden-Wurttemberg, Germany). https://doi.org/10.1002/advs.78703

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pubmed · retrieved 2026-11-10T19:51:31.337Z