Attentive Variational Information Bottleneck for TCR–peptide interaction prediction
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac820
Abstract: Abstract Motivation We present a multi-sequence generalization of Variational Information Bottleneck and call the resulting model Attentive Variational Information Bottleneck (AVIB). Our AVIB model leverages multi-head self-attention to implicitly approximate a posterior distribution over latent… read more here.
Keywords: information; tcr peptide; information bottleneck; variational information ... See more keywords
epiTCR: a highly sensitive predictor for TCR–peptide binding
Sign Up to like & getrecommendations! Published in 2023 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btad284
Abstract: Abstract Motivation Predicting the binding between T-cell receptor (TCR) and peptide presented by human leucocyte antigen molecule is a highly challenging task and a key bottleneck in the development of immunotherapy. Existing prediction tools, despite… read more here.
Keywords: epitcr highly; tcr peptide; prediction; tcr ... See more keywords
Structure-based prediction of T cell receptor:peptide-MHC interactions
Sign Up to like & getrecommendations! Published in 2022 at "eLife"
DOI: 10.1101/2022.08.05.503004
Abstract: The regulatory and effector functions of T cells are initiated by the binding of their cell-surface T cell receptor (TCR) to peptides presented by major histocompatibility complex (MHC) proteins on other cells. The specificity of… read more here.
Keywords: tcr peptide; prediction; mhc interactions; cell receptor ... See more keywords