SEGT-GO: a graph transformer method based on PPI serialization and explanatory artificial intelligence for protein function prediction

Abstract Background A massive amount of protein sequences have been obtained, but their functions remain challenging to discern. In recent research on protein function prediction, Protein-Protein Interaction (PPI) Networks have played a crucial role. Uncovering potential function relationships betwe...

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Bibliographic Details
Main Authors:	Yansong Wang, Yundong Sun, Baohui Lin, Haotian Zhang, Xiaoling Luo, Yumeng Liu, Xiaopeng Jin, Dongjie Zhu
Format:	Article
Language:	English
Published:	BMC 2025-02-01
Series:	BMC Bioinformatics
Subjects:	Protein function prediction Graph transformer PPI networks Multi-hop neighborhood serialization Explainable artificial intelligence
Online Access:	https://doi.org/10.1186/s12859-025-06059-7
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SEGT-GO: a graph transformer method based on PPI serialization and explanatory artificial intelligence for protein function prediction

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