AIMC Topic: Epitopes, T-Lymphocyte

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MITNet: a fusion transformer and convolutional neural network architecture approach for T-cell epitope prediction.

Briefings in bioinformatics Jul 20, 2023
Classifying epitopes is essential since they can be applied in various fields, including therapeutics, diagnostics and peptide-based vaccines. To determine the epitope or peptide against an antibody, epitope mapping with peptides is the most extensiv...
Neural Networks, Computer Epitopes, T-Lymphocyte Peptides Receptors, Antigen, T-Cell Amino Acid Sequence
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TEINet: a deep learning framework for prediction of TCR-epitope binding specificity.

Briefings in bioinformatics Mar 19, 2023
The adaptive immune response to foreign antigens is initiated by T-cell receptor (TCR) recognition on the antigens. Recent experimental advances have enabled the generation of a large amount of TCR data and their cognate antigenic targets, allowing m...
Epitopes, T-Lymphocyte Deep Learning Receptors, Antigen, T-Cell Protein Binding
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New tools for MHC research from machine learning and predictive algorithms to the tumour immunopeptidome.

Immunology Jul 1, 2018
At a time when immunology seeks to progress ever more rapidly from characterization of a microbial or tumour antigen to the immune correlates that may define protective T-cell immunity, there is a need for robust tools to enable accurate predictions ...
Humans Machine Learning Research T-Lymphocytes Neoplasms Epitopes, T-Lymphocyte Peptides Cancer Vaccines Immunotherapy, Adoptive Major Histocompatibility Complex
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