Predicting epitopes recognized by cytotoxic T cells has been a long standing challenge
within the field of immuno-and bioinformatics. While reliable predictions of peptide binding …

The class I proteins of the major histocompatibility complex (MHC-I) display epitopic
peptides derived from endogenous proteins on the cell surface for immune surveillance …

We present MHC-NP, a tool for predicting peptides naturally processed by the MHC
pathway. The method was part of the 2nd Machine Learning Competition in Immunology …

The precise identification of Human Leukocyte Antigen class I (HLA-I) binding motifs plays a
central role in our ability to understand and predict (neo-) antigen presentation in infectious …

Peptide antigens bound to molecules encoded by the major histocompatibility complex
(MHC) and presented on the cell surface form the targets of T lymphocytes. This critical arm …

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 …

Ag presentation on HLA molecules plays a central role in infectious diseases and tumor
immunology. To date, large-scale identification of (neo-) Ags from DNA sequencing data has …

The development of immunological therapies that incorporate peptide antigens presented to
T cells by MHC proteins is a long sought-after goal, particularly for cancer, where mutated …

Cellular peptide vaccines contain T-cell epitopes. The main prerequisite for a peptide to act
as a T-cell epitope is that it binds to a major histocompatibility complex (MHC) protein …

To understand and treat immunology-related diseases, a comprehensive, unbiased
characterization of major histocompatibility complex (MHC) peptide ligands is of key …