Benchmarking predictions of MHC class I restricted T cell epitopes in a comprehensively studied model system

Most viral peptides displayed by class I MHC on infected cells are immunogenic

(2019) Nathan P. Croft et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

MHCflurry: Open-Source Class I MHC Binding Affinity Prediction

(2018) Timothy J. O'Donnell et al.   Cell Systems

Systematically benchmarking peptide-MHC binding predictors: From synthetic to naturally processed epitopes

(2018) Weilong Zhao et al.   PLoS Computational Biology

NetMHCpan-4.0: Improved Peptide–MHC Class I Interaction Predictions Integrating Eluted Ligand and Peptide Binding Affinity Data

(2017) Vanessa Jurtz et al.   JOURNAL OF IMMUNOLOGY

The Length Distribution of Class I–Restricted T Cell Epitopes Is Determined by Both Peptide Supply and MHC Allele–Specific Binding Preference

(2016) Thomas Trolle et al.   JOURNAL OF IMMUNOLOGY

NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets

(2016) Morten Nielsen et al.   Genome Medicine

Gapped sequence alignment using artificial neural networks: application to the MHC class I system

(2015) Massimo Andreatta et al.   BIOINFORMATICS

The immune epitope database (IEDB) 3.0

(2014) Randi Vita et al.   NUCLEIC ACIDS RESEARCH

Comparable Polyfunctionality of Ectromelia Virus- and Vaccinia Virus-Specific Murine T Cells despite Markedly Different In Vivo Replication and Pathogenicity

(2012) A. R. Hersperger et al.   JOURNAL OF VIROLOGY

PAComplex: a web server to infer peptide antigen families and binding models from TCR–pMHC complexes

(2011) I-Hsin Liu et al.   NUCLEIC ACIDS RESEARCH

Derivation of an amino acid similarity matrix for peptide:MHC binding and its application as a Bayesian prior

(2009) Yohan Kim et al.   BMC BIOINFORMATICS