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.15548840
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Zenodo (CERN European Organization for Nuclear Research)
Functional Brain Connectivity Studies
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 52%
Functional Brain Connectivity Studies
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.