Light attention predicts protein location from the language of life

SUMMARY: Although knowing where a protein functions in a cell is important to characterize biological processes, this information remains unavailable for most known proteins. Machine learning narrows the gap through predictions from expert-designed input features leveraging information from multiple...

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Detalles Bibliográficos
Autores principales: Stärk, Hannes, Dallago, Christian, Heinzinger, Michael, Rost, Burkhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710637/
https://www.ncbi.nlm.nih.gov/pubmed/36700108
http://dx.doi.org/10.1093/bioadv/vbab035

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9710637/
https://www.ncbi.nlm.nih.gov/pubmed/36700108
http://dx.doi.org/10.1093/bioadv/vbab035

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