Limitations of current machine learning models in predicting enzymatic functions for uncharacterized proteins.

de Crécy-Lagard V, Dias R, Sexson N, Friedberg I, Yuan Y, Swairjo MA

Open source

DOI
10.1093/g3journal/jkaf169
Published
2025 Oct 8
Container
G3 (Bethesda, Md.)
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1093/g3journal/jkaf169,
  title = {Limitations of current machine learning models in predicting enzymatic functions for uncharacterized proteins.},
  author = {de Crécy-Lagard V and Dias R and Sexson N and Friedberg I and Yuan Y and Swairjo MA},
  year = {2025},
  journal = {G3 (Bethesda, Md.)},
  doi = {10.1093/g3journal/jkaf169},
  url = {https://doi.org/10.1093/g3journal/jkaf169}
}

RIS

TY  - JOUR
TI  - Limitations of current machine learning models in predicting enzymatic functions for uncharacterized proteins.
AU  - de Crécy-Lagard V
AU  - Dias R
AU  - Sexson N
AU  - Friedberg I
AU  - Yuan Y
AU  - Swairjo MA
PY  - 2025
JO  - G3 (Bethesda, Md.)
DO  - 10.1093/g3journal/jkaf169
UR  - https://doi.org/10.1093/g3journal/jkaf169
ER  - 

APA

V, D. C., R, D., N, S., I, F., Y, Y., & MA, S. (2025). Limitations of current machine learning models in predicting enzymatic functions for uncharacterized proteins.. G3 (Bethesda, Md.). https://doi.org/10.1093/g3journal/jkaf169

Source records