GNN2Pfam: Integrating protein sequence and structure with graph neural networks for Pfam domain annotation.
- DOI
- 10.1016/j.jsb.2026.108294
- Published
- 2026 Mar
- Container
- Journal of structural biology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.jsb.2026.108294,
title = {GNN2Pfam: Integrating protein sequence and structure with graph neural networks for Pfam domain annotation.},
author = {Fenoy E and Bugnon LA and Vitale R and Duarte SA and Milone DH and Stegmayer G},
year = {2026},
journal = {Journal of structural biology},
doi = {10.1016/j.jsb.2026.108294},
url = {https://doi.org/10.1016/j.jsb.2026.108294}
}RIS
TY - JOUR TI - GNN2Pfam: Integrating protein sequence and structure with graph neural networks for Pfam domain annotation. AU - Fenoy E AU - Bugnon LA AU - Vitale R AU - Duarte SA AU - Milone DH AU - Stegmayer G PY - 2026 JO - Journal of structural biology DO - 10.1016/j.jsb.2026.108294 UR - https://doi.org/10.1016/j.jsb.2026.108294 ER -
APA
E, F., LA, B., R, V., SA, D., DH, M., & G, S. (2026). GNN2Pfam: Integrating protein sequence and structure with graph neural networks for Pfam domain annotation.. Journal of structural biology. https://doi.org/10.1016/j.jsb.2026.108294
Source records
- pubmed · retrieved 2026-09-25T09:05:32.539Z