Enhancing TCR specificity predictions by combined pan- and peptide-specific training, loss-scaling, and sequence similarity integration

Enhancing TCR specificity predictions by combined pan- and peptide-specific training, loss-scaling, and sequence similarity integration

Predicting the interaction between Major Histocompatibility Complex (MHC) class I-presented peptides and T-cell receptors (TCR) holds significant implications for vaccine development, cancer treatment, and autoimmune disease therapies. However, limited paired-chain TCR data, skewed towards well-stud...

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Bibliographic Details
Main Authors: Mathias Fynbo Jensen, Morten Nielsen
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2024-03-01
Series:eLife
Subjects:
TCR specificity
machine learning
immunology
bioinformatics
Online Access:https://elifesciences.org/articles/93934

Internet

https://elifesciences.org/articles/93934

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