Tumor antigens can emerge through multiple mechanisms, including translation of
noncoding genomic regions. This noncanonical category of tumor antigens has recently …

Abstract The Major Histocompatibility Complex (MHC) binds to the derived peptides from
pathogens to present them to killer T cells on the cell surface. Developing computational …

Motivation Many biological processes are governed by protein–ligand interactions. One
such example is the recognition of self and non-self cells by the immune system. This …

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

Major histocompatibility complex-I (MHC-I) molecules play a central role in the immune
response to viruses and cancers. They present peptides on the surface of affected cells, for …

Background Immunotherapy is a promising route towards personalized cancer treatment. A
key algorithmic challenge in this process is to decide if a given peptide (neoepitope) binds …

Computational prediction of the peptides presented on major histocompatibility complex
(MHC) class I proteins is an important tool for studying T cell immunity. The data available to …

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

Predicting the binding affinity of major histocompatibility complex I (MHC I) proteins and their
peptide ligands is important for vaccine design. We introduce an open-source package for …

Several novel MHC class I epitope prediction tools additionally incorporate the abundance
levels of the peptides' source antigens and have shown improved performance for predicting …