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T cell epitope predictions
Throughout the body, T cells monitor MHC-bound ligands expressed on the surface of
essentially all cell types. MHC ligands that trigger a T cell immune response are referred to …
essentially all cell types. MHC ligands that trigger a T cell immune response are referred to …
Immunoinformatics: predicting peptide–MHC binding
Immunoinformatics is a discipline that applies methods of computer science to study and
model the immune system. A fundamental question addressed by immunoinformatics is how …
model the immune system. A fundamental question addressed by immunoinformatics is how …
A framework for highly multiplexed dextramer map** and prediction of T cell receptor sequences to antigen specificity
T cell receptor (TCR) antigen–specific recognition is essential for the adaptive immune
system. However, building a TCR-antigen interaction map has been challenging due to the …
system. However, building a TCR-antigen interaction map has been challenging due to the …
Deep generative selection models of T and B cell receptor repertoires with soNNia
Subclasses of lymphocytes carry different functional roles to work together and produce an
immune response and lasting immunity. Additionally to these functional roles, T and B cell …
immune response and lasting immunity. Additionally to these functional roles, T and B cell …
Explaining a black-box by using a deep variational information bottleneck approach
Interpretable machine learning has gained much attention recently. Briefness and
comprehensiveness are necessary in order to provide a large amount of information …
comprehensiveness are necessary in order to provide a large amount of information …
[HTML][HTML] Quantitative immunology for physicists
The adaptive immune system is a dynamical, self-organized multiscale system that protects
vertebrates from both pathogens and internal irregularities, such as tumors. For these …
vertebrates from both pathogens and internal irregularities, such as tumors. For these …
Population variability in the generation and selection of T-cell repertoires
The diversity of T-cell receptor (TCR) repertoires is achieved by a combination of two
intrinsically stochastic steps: random receptor generation by VDJ recombination, and …
intrinsically stochastic steps: random receptor generation by VDJ recombination, and …
Computational Methods for Predicting Key Interactions in T Cell–Mediated Adaptive Immunity
R Ehrlich, E Glynn, M Singh… - Annual Review of …, 2024 - annualreviews.org
The adaptive immune system recognizes pathogen-and cancer-specific features and is
endowed with memory, enabling it to respond quickly and efficiently to repeated encounters …
endowed with memory, enabling it to respond quickly and efficiently to repeated encounters …
Predicting TCR-epitope binding specificity using deep metric learning and multimodal learning
Understanding the recognition of specific epitopes by cytotoxic T cells is a central problem in
immunology. Although predicting binding between peptides and the class I Major …
immunology. Although predicting binding between peptides and the class I Major …
An overview of immunoinformatics approaches and databases linking T cell receptor repertoires to their antigen specificity
Recent advances in molecular and bioinformatic methods have greatly improved our ability
to study the formation of an adaptive immune response towards foreign pathogens, self …
to study the formation of an adaptive immune response towards foreign pathogens, self …