ProteinBERT: a universal deep-learning model of protein sequence and function

SUMMARY: Self-supervised deep language modeling has shown unprecedented success across natural language tasks, and has recently been repurposed to biological sequences. However, existing models and pretraining methods are designed and optimized for text analysis. We introduce ProteinBERT, a deep lan...

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Detalles Bibliográficos
Autores principales: Brandes, Nadav, Ofer, Dan, Peleg, Yam, Rappoport, Nadav, Linial, Michal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386727/
https://www.ncbi.nlm.nih.gov/pubmed/35020807
http://dx.doi.org/10.1093/bioinformatics/btac020

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386727/
https://www.ncbi.nlm.nih.gov/pubmed/35020807
http://dx.doi.org/10.1093/bioinformatics/btac020

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