ASCE-PPIS: A Protein-Protein Interaction Sites Predictor Based on Equivariant Graph Neural Network with Fusion of Structure-Aware Pooling and Graph Collapse

The datasets and the source codes along with the pre-trained models of ASCE-PPIS are available at https://github.com/nunhehheh/ASCE-PPIS.

Authors

Institutions

Publication Details

Journal
Bioinformatics
Published
2025-07-24
DOI
https://doi.org/10.1093/bioinformatics/btaf423
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ASCE-PPIS: A Protein-Protein Interaction Sites Predictor Based on Equivariant Graph Neural Network with Fusion of Structure-Aware Pooling and Graph Collapse

Dong‐Jun Yu, Shudong Hu, Shen Guanghao, Yuxi Ge et al.
Bioinformatics
Computational Drug Discovery Methods
article

ASCE-PPIS: A Protein-Protein Interaction Sites Predictor Based on Equivariant Graph Neural Network with Fusion of Structure-Aware Pooling and Graph Collapse

Dong‐Jun Yu, Shudong Hu, Shen Guanghao, Yuxi Ge, Xiaoyong Pan, Ziyang Zhang, Zhaohong Deng, Hong-Bin Shen
article en

Abstract

The datasets and the source codes along with the pre-trained models of ASCE-PPIS are available at https://github.com/nunhehheh/ASCE-PPIS.

BioinformaticsVol. 41(8)
Jiangnan University (CN), Fullerton College (US), Shanghai Jiao Tong University (CN), H.B. Fuller (United States) (US), Ministry of Education (ME), Intelligent Health (United Kingdom) (GB)
National Natural Science Foundation of China
Openalex Percentile: Top 81%
Computational Drug Discovery Methods
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.