BERTrand—peptide:TCR binding prediction using Bidirectional Encoder Representations from Transformers augmented with random TCR pairing

MOTIVATION: The advent of T-cell receptor (TCR) sequencing experiments allowed for a significant increase in the amount of peptide:TCR binding data available and a number of machine-learning models appeared in recent years. High-quality prediction models for a fixed epitope sequence are feasible, pr...

Descripción completa

Detalles Bibliográficos
Autores principales: Myronov, Alexander, Mazzocco, Giovanni, Król, Paulina, Plewczynski, Dariusz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10444968/
https://www.ncbi.nlm.nih.gov/pubmed/37535685
http://dx.doi.org/10.1093/bioinformatics/btad468

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10444968/
https://www.ncbi.nlm.nih.gov/pubmed/37535685
http://dx.doi.org/10.1093/bioinformatics/btad468

Ejemplares similares