GPCR-GO: Relation-aware graph learning for predicting Gene Ontology terms of G protein-coupled receptors.

Sun A, Hao Y, Ding Y, Chen J, Wu H

DOI: 10.1371/journal.pcbi.1014718
Published: 2026 Aug
Container: PLoS computational biology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pcbi.1014718,
  title = {GPCR-GO: Relation-aware graph learning for predicting Gene Ontology terms of G protein-coupled receptors.},
  author = {Sun A and Hao Y and Ding Y and Chen J and Wu H},
  year = {2026},
  journal = {PLoS computational biology},
  doi = {10.1371/journal.pcbi.1014718},
  url = {https://doi.org/10.1371/journal.pcbi.1014718}
}

RIS

TY  - JOUR
TI  - GPCR-GO: Relation-aware graph learning for predicting Gene Ontology terms of G protein-coupled receptors.
AU  - Sun A
AU  - Hao Y
AU  - Ding Y
AU  - Chen J
AU  - Wu H
PY  - 2026
JO  - PLoS computational biology
DO  - 10.1371/journal.pcbi.1014718
UR  - https://doi.org/10.1371/journal.pcbi.1014718
ER  -

APA

A, S., Y, H., Y, D., J, C., & H, W. (2026). GPCR-GO: Relation-aware graph learning for predicting Gene Ontology terms of G protein-coupled receptors.. PLoS computational biology. https://doi.org/10.1371/journal.pcbi.1014718

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pubmed · retrieved 2026-09-26T00:28:58.422Z