Structure-aware protein self-supervised learning

MOTIVATION: Protein representation learning methods have shown great potential to many downstream tasks in biological applications. A few recent studies have demonstrated that the self-supervised learning is a promising solution to addressing insufficient labels of proteins, which is a major obstacl...

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Detalles Bibliográficos
Autores principales: Chen, Can (Sam), Zhou, Jingbo, Wang, Fan, Liu, Xue, Dou, Dejing
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/PMC10139775/
https://www.ncbi.nlm.nih.gov/pubmed/37052532
http://dx.doi.org/10.1093/bioinformatics/btad189

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10139775/
https://www.ncbi.nlm.nih.gov/pubmed/37052532
http://dx.doi.org/10.1093/bioinformatics/btad189

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