Modeling aspects of the language of life through transfer-learning protein sequences

BACKGROUND: Predicting protein function and structure from sequence is one important challenge for computational biology. For 26 years, most state-of-the-art approaches combined machine learning and evolutionary information. However, for some applications retrieving related proteins is becoming too...

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Detalles Bibliográficos
Autores principales: Heinzinger, Michael, Elnaggar, Ahmed, Wang, Yu, Dallago, Christian, Nechaev, Dmitrii, Matthes, Florian, Rost, Burkhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6918593/
https://www.ncbi.nlm.nih.gov/pubmed/31847804
http://dx.doi.org/10.1186/s12859-019-3220-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6918593/
https://www.ncbi.nlm.nih.gov/pubmed/31847804
http://dx.doi.org/10.1186/s12859-019-3220-8

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