The identification of major histocompatibility complex (MHC)‐binding peptides in mass
spectrometry (MS)‐based immunopeptideomics relies largely on database search engines …

Traditionally, T cell epitope discovery requires considerable amounts of tedious, slow, and
costly experimental work. During the last decade, prediction tools have emerged as …

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 The major histocompatibility complex (MHC) molecule plays a central role in
controlling the adaptive immune response to infections. MHC class I molecules present …

The presentation of peptides on class I human leukocyte antigen (HLA-I) molecules plays a
central role in immune recognition of infected or malignant cells. In cancer, non-self HLA-I …

We introduced previously an on-line resource, RANKPEP that uses position specific scoring
matrices (PSSMs) or profiles for the prediction of peptide-MHC class I (MHCI) binding as a …

Personalized multipeptide vaccines are currently being discussed intensively for tumor
immunotherapy. In order to identify epitopes—short, immunogenic peptides—suitable for …

Characterizing the human leukocyte antigen (HLA) bound ligandome by mass spectrometry
(MS) holds great promise for developing vaccines and drugs for immune-oncology. Still, the …

Accurate prediction of antigen presentation by human leukocyte antigen (HLA) class II
molecules is crucial for rational development of immunotherapies and vaccines targeting …

Choice of one method over another for MHC-II binding peptide prediction is typically based
on published reports of their estimated performance on standard benchmark datasets. We …