Graph attention with energy features improves the generalizability of identifying functional sequences at a protein interface

Rosetta-generated structures of RBD variants from publication. Pre-computed ESM2 averages for all samples are also included for use in graph generation.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-29
DOI
https://doi.org/10.5281/zenodo.15548841
Primary Topic
Hate Speech and Cyberbullying Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Graph attention with energy features improves the generalizability of identifying functional sequences at a protein interface

Zenodo (CERN European Organization for Nuclear Research)
Hate Speech and Cyberbullying Detection
article

Graph attention with energy features improves the generalizability of identifying functional sequences at a protein interface

article en

Abstract

Rosetta-generated structures of RBD variants from publication. Pre-computed ESM2 averages for all samples are also included for use in graph generation.

Zenodo (CERN European Organization for Nuclear Research)
Rutgers, The State University of New Jersey (US)
Affordable and clean energy
Openalex Percentile: Top 74%
Hate Speech and Cyberbullying Detection
DOIOpen Access PDFOpenAlex
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Graph attention with energy features improves the generalizability of identifying functional sequences at a protein interface · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS