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Hierarchical graph transformer with contrastive learning for protein function prediction

MOTIVATION: In recent years, high-throughput sequencing technologies have made large-scale protein sequences accessible. However, their functional annotations usually rely on low-throughput and pricey experimental studies. Computational prediction models offer a promising alternative to accelerate t...

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Detalles Bibliográficos
Autores principales:	Gu, Zhonghui, Luo, Xiao, Chen, Jiaxiao, Deng, Minghua, Lai, Luhua
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2023
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338137/ https://www.ncbi.nlm.nih.gov/pubmed/37369035 http://dx.doi.org/10.1093/bioinformatics/btad410

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