Unsupervised protein embeddings outperform hand-crafted sequence and structure features at predicting molecular function

MOTIVATION: Protein function prediction is a difficult bioinformatics problem. Many recent methods use deep neural networks to learn complex sequence representations and predict function from these. Deep supervised models require a lot of labeled training data which are not available for this task....

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Detalles Bibliográficos
Autores principales: Villegas-Morcillo, Amelia, Makrodimitris, Stavros, van Ham, Roeland C H J, Gomez, Angel M, Sanchez, Victoria, Reinders, Marcel J T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055213/
https://www.ncbi.nlm.nih.gov/pubmed/32797179
http://dx.doi.org/10.1093/bioinformatics/btaa701

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055213/
https://www.ncbi.nlm.nih.gov/pubmed/32797179
http://dx.doi.org/10.1093/bioinformatics/btaa701

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