A new dimension in protein-RNA interface prediction: Integrating protein language models and geometric deep learning.
- DOI
- 10.1016/j.sbi.2026.103362
- Published
- 2026 Aug 18
- Container
- Current opinion in structural biology
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.sbi.2026.103362,
title = {A new dimension in protein-RNA interface prediction: Integrating protein language models and geometric deep learning.},
author = {Arif R and Castello A},
year = {2026},
journal = {Current opinion in structural biology},
doi = {10.1016/j.sbi.2026.103362},
url = {https://doi.org/10.1016/j.sbi.2026.103362}
}RIS
TY - JOUR TI - A new dimension in protein-RNA interface prediction: Integrating protein language models and geometric deep learning. AU - Arif R AU - Castello A PY - 2026 JO - Current opinion in structural biology DO - 10.1016/j.sbi.2026.103362 UR - https://doi.org/10.1016/j.sbi.2026.103362 ER -
APA
R, A., & A, C. (2026). A new dimension in protein-RNA interface prediction: Integrating protein language models and geometric deep learning.. Current opinion in structural biology. https://doi.org/10.1016/j.sbi.2026.103362
Source records
- pubmed · retrieved 2026-09-25T18:35:24.750Z