The identification of MHC class II restricted peptide epitopes is an important goal in
immunological research. A number of computational tools have been developed for this …

Major histocompatibility complex class II (MHC‐II) molecules are expressed on the surface
of professional antigen‐presenting cells where they display peptides to T helper cells, which …

Recognition of peptides bound to major histocompatibility complex (MHC) class I molecules
by T lymphocytes is an essential part of immune surveillance. Each MHC allele has a …

Motivation: Numerous in silico methods predicting peptide binding to major
histocompatibility complex (MHC) class I molecules have been developed over the last …

Background Experts in peptide: MHC binding studies are often able to estimate the impact of
a single residue substitution based on a heuristic understanding of amino acid similarity in …

Motivation Computational methods for the prediction of peptide-MHC binding have become
an integral and essential component for candidate selection in experimental T cell epitope …

Background T-cells are key players in regulating a specific immune response. Activation of
cytotoxic T-cells requires recognition of specific peptides bound to Major Histocompatibility …

Cytotoxic T cells are of central importance in the immune system's response to disease.
They recognize defective cells by binding to peptides presented on the cell surface by MHC …

Background It is important to accurately determine the performance of peptide: MHC binding
predictions, as this enables users to compare and choose between different prediction …

A number of machine learning-based predictors have been developed for identifying
immunogenic T-cell epitopes based on major histocompatibility complex (MHC) class I and II …