Background A variety of methods for prediction of peptide binding to major histocompatibility
complex (MHC) have been proposed. These methods are based on binding motifs, binding …

Background Peptides derived from endogenous antigens can bind to MHC class I
molecules. Those which bind with high affinity can invoke a CD8+ immune response …

Identification of MHC-binding peptides is a prerequisite in rational design of T-cell based
peptide vaccines. During the past decade a number of computational approaches have …

Peptides that bind to major histocompatibility complex products (MHC) are known to exhibit
certain sequence motifs which, though common, are neither necessary nor sufficient for …

T-cell recognition of peptide/major histocompatibility complex (MHC) is a prerequisite for
cellular immunity. Recently, there has been an influx of bioinformatics tools to facilitate the …

Background Protein antigens and their specific epitopes are formulation targets for epitope-
based vaccines. A number of prediction servers are available for identification of peptides …

MOTIVATION: Prediction methods for identifying binding peptides could minimize the
number of peptides required to be synthesized and assayed, and thereby facilitate the …

Peptide binding to MHC is critical for antigen recognition by T-cells. To facilitate vaccine
design, computational methods have been developed for predicting MHC-binding peptides …

Several accurate prediction systems have been developed for prediction of class I major
histocompatibility complex (MHC): peptide binding. Most of these are trained on binding …

Computational models complement laboratory experimentation for efficient identification of
MHC-binding peptides and T-cell epitopes. Methods for prediction of MHC-binding peptides …