title: Computational Resources for MHC Ligand Identification.
abstract: Advances in the high-throughput determination of functional modulators of major histocompatibility complex (MHC) and improved computational predictions of MHC ligands have rendered the rational design of immunomodulatory peptides feasible. Proteome-derived peptides and 'reverse vaccinology' by computational means will play a driving role in future vaccine design. Here we review the molecular mechanisms of the MHC mediated immune response, present the computational approaches that have emerged in this area of biotechnology, and provide an overview of publicly available computational resources for predicting and designing new peptidic MHC ligands.
authors.affiliation: ETH Zürich, Department of Chemistry and Applied Biosciences, Institute of Pharmaceutical Sciences, Wolfgang-Pauli-Str. 10, 8093 Zürich, Switzerland.
authors.forename: Christian P
authors.initials: CP
authors.lastname: Koch
authors.affiliation: ETH Zürich, Department of Chemistry and Applied Biosciences, Institute of Pharmaceutical Sciences, Wolfgang-Pauli-Str. 10, 8093 Zürich, Switzerland.
authors.forename: Max
authors.initials: M
authors.lastname: Pillong
authors.affiliation: ETH Zürich, Department of Chemistry and Applied Biosciences, Institute of Pharmaceutical Sciences, Wolfgang-Pauli-Str. 10, 8093 Zürich, Switzerland.
authors.forename: Jan A
authors.initials: JA
authors.lastname: Hiss
authors.affiliation: ETH Zürich, Department of Chemistry and Applied Biosciences, Institute of Pharmaceutical Sciences, Wolfgang-Pauli-Str. 10, 8093 Zürich, Switzerland. gisbert.schneider@pharma.ethz.ch.
authors.forename: Gisbert
authors.initials: G
authors.lastname: Schneider
keywords: Bioinformatics; Epitope; Immunology; Major histocompatibility complex; Peptide design; Prediction; Vaccine