A key role in cell-mediated immunity is dedicated to the major histocompatibility complex
(MHC) molecules that bind peptides for presentation on the cell surface. Several in silico …

In this paper, an approach developed to address the inverse protein folding problem is
applied to prediction of potential binding peptides to a specific major histocompatibility …

Background Binding of peptides to MHC class I molecules (MHC-I) is essential for antigen
presentation to cytotoxic T-cells. Results Here, we demonstrate how a simple alignment step …

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 …

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 …

Understanding the mechanisms involved in the activation of an immune response is
essential to many fields in human health, including vaccine development and personalized …

MHCBN is a comprehensive database of Major Histocompatibility Complex (MHC) binding
and non-binding peptides compiled from published literature and existing databases. The …

Motivation Prediction of peptide binding to the major histocompatibility complex (MHC) plays
a vital role in the development of therapeutic vaccines for the treatment of cancer. Algorithms …

Motivation: The binding of endogenous antigenic peptides to MHC class I molecules is an
important step during the immunologic response of a host against a pathogen. Thus, various …

Motivation Accurate prediction of binding between a major histocompatibility complex (MHC)
allele and a peptide plays a major role in the synthesis of personalized cancer vaccines. The …