GNNGL-PPI: multi-category prediction of protein-protein interactions using graph neural networks based on global graphs and local subgraphs

Abstract Most proteins exert their functions by interacting with other proteins, making the identification of protein-protein interactions (PPI) crucial for understanding biological activities, pathological mechanisms, and clinical therapies. Developing effective and reliable computational methods f...

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Bibliografski detalji

Glavni autori:	Xin Zeng, Fan-Fang Meng, Meng-Liang Wen, Shu-Juan Li, Yi Li
Format:	Artigo
Jezik:	Inglês
Izdano:	BMC 2024-05-01
Serija:	BMC Genomics
Teme:	Multi-category prediction of protein-protein interactions Graph neural network Global graphs Local subgraphs Asymmetric loss function
Online pristup:	https://doi.org/10.1186/s12864-024-10299-x
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