MGMA-PPIS: Predicting the protein–protein interaction site with multiview graph embedding and multiscale attention fusion

Experimental results on benchmark datasets show that our MGMA-PPIS outperforms other state-of-the-art methods, and it can effectively predict PPI sites.

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Publication Details

Journal
GigaScience
Published
2025-01-01
DOI
https://doi.org/10.1093/gigascience/giaf114
Citations
1
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.81

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article

MGMA-PPIS: Predicting the protein–protein interaction site with multiview graph embedding and multiscale attention fusion

Qingqing Zhang, Shao‐Wu Zhang, Yong Han, Mingpeng Shi
1 citations
GigaScience
Bioinformatics and Genomic Networks
0.81
article

MGMA-PPIS: Predicting the protein–protein interaction site with multiview graph embedding and multiscale attention fusion

Qingqing Zhang, Shao‐Wu Zhang, Yong Han, Mingpeng Shi
article en
1 citations

Abstract

Experimental results on benchmark datasets show that our MGMA-PPIS outperforms other state-of-the-art methods, and it can effectively predict PPI sites.

GigaScienceVol. 14
Northwestern Polytechnical University (CN), Police Department (LT), Zhengzhou Railway Vocational & Technical College (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 23%
Bioinformatics and Genomic Networks
0.81
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