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 …

Background Modelling the interaction between potentially antigenic peptides and Major
Histocompatibility Complex (MHC) molecules is a key step in identifying potential T-cell …

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 …

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

Motivation: Various methods have been proposed to predict the binding affinities of peptides
to Major Histocompatibility Complex class I (MHC-I) molecules based on experimental …

Motivation and results: Motivated by the ability of a simple threading approach to predict
MHC I—peptide binding, we developed a new and improved structure-based model for …

Motivation: MHC: peptide binding plays a central role in activating the immune surveillance.
Computational approaches to determine T-cell epitopes restricted to any given major …

Motivation: Algorithms for predicting peptide–MHC class II binding are typically similar, if not
identical, to methods for predicting peptide–MHC class I binding despite known differences …

Since determining the crystallographic structure of all peptide‐MHC complexes is infeasible,
an accurate prediction of the conformation is a critical computational problem. These models …

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 …