NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data

Prediction of T-cell receptor (TCR) interactions with MHC-peptide complexes remains highly challenging. This challenge is primarily due to three dominant factors: data accuracy, data scarceness, and problem complexity. Here, we showcase that “shallow” convolutional neural network (CNN) architectures...

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Detalles Bibliográficos
Autores principales: Montemurro, Alessandro, Schuster, Viktoria, Povlsen, Helle Rus, Bentzen, Amalie Kai, Jurtz, Vanessa, Chronister, William D., Crinklaw, Austin, Hadrup, Sine R., Winther, Ole, Peters, Bjoern, Jessen, Leon Eyrich, Nielsen, Morten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433451/
https://www.ncbi.nlm.nih.gov/pubmed/34508155
http://dx.doi.org/10.1038/s42003-021-02610-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433451/
https://www.ncbi.nlm.nih.gov/pubmed/34508155
http://dx.doi.org/10.1038/s42003-021-02610-3

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