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

Mass Spectrometry Profiling of HLA-Associated Peptidomes in Mono-allelic Cells Enables More Accurate Epitope Prediction

(2017) Jennifer G. Abelin et al.   IMMUNITY

MHC-I Ligand Discovery Using Targeted Database Searches of Mass Spectrometry Data: Implications for T-Cell Immunotherapies

(2017) J. Patrick Murphy et al.   JOURNAL OF PROTEOME RESEARCH

The problem with neoantigen prediction

(2017)   NATURE BIOTECHNOLOGY

NNAlign: a platform to construct and evaluate artificial neural network models of receptor–ligand interactions

(2017) Morten Nielsen et al.   NUCLEIC ACIDS RESEARCH

GibbsCluster: unsupervised clustering and alignment of peptide sequences

(2017) Massimo Andreatta et al.   NUCLEIC ACIDS RESEARCH

Deciphering HLA-I motifs across HLA peptidomes improves neo-antigen predictions and identifies allostery regulating HLA specificity

(2017) Michal Bassani-Sternberg et al.   PLoS Computational Biology

MHC class I–associated peptides derive from selective regions of the human genome

(2016) Hillary Pearson et al.   JOURNAL OF CLINICAL INVESTIGATION

Unsupervised HLA Peptidome Deconvolution Improves Ligand Prediction Accuracy and Predicts Cooperative Effects in Peptide–HLA Interactions

(2016) Michal Bassani-Sternberg et al.   JOURNAL OF IMMUNOLOGY

Pan-Specific Prediction of Peptide–MHC Class I Complex Stability, a Correlate of T Cell Immunogenicity

(2016) Michael Rasmussen 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

Direct identification of clinically relevant neoepitopes presented on native human melanoma tissue by mass spectrometry

(2016) Michal Bassani-Sternberg et al.   Nature Communications

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

Tumor neoantigens: building a framework for personalized cancer immunotherapy

(2015) Matthew M. Gubin et al.   JOURNAL OF CLINICAL INVESTIGATION

Mass Spectrometry of Human Leukocyte Antigen Class I Peptidomes Reveals Strong Effects of Protein Abundance and Turnover on Antigen Presentation

(2015) Michal Bassani-Sternberg et al.   MOLECULAR & CELLULAR PROTEOMICS

Mutant MHC class II epitopes drive therapeutic immune responses to cancer

(2015) Sebastian Kreiter et al.   NATURE

The immune epitope database (IEDB) 3.0

(2014) Randi Vita et al.   NUCLEIC ACIDS RESEARCH

NetMHCIIpan-3.0, a common pan-specific MHC class II prediction method including all three human MHC class II isotypes, HLA-DR, HLA-DP and HLA-DQ

(2013) Edita Karosiene et al.   IMMUNOGENETICS

NetMHCstab- predicting stability of peptide-MHC-I complexes; impacts for cytotoxic T lymphocyte epitope discovery

(2013) Kasper W. Jørgensen et al.   IMMUNOLOGY

HLA Class I Alleles Are Associated with Peptide-Binding Repertoires of Different Size, Affinity, and Immunogenicity

(2013) S. Paul et al.   JOURNAL OF IMMUNOLOGY

Peptide-MHC class I stability is a better predictor than peptide affinity of CTL immunogenicity

(2012) Mikkel Harndahl et al.   EUROPEAN JOURNAL OF IMMUNOLOGY

Seq2Logo: a method for construction and visualization of amino acid binding motifs and sequence profiles including sequence weighting, pseudo counts and two-sided representation of amino acid enrichment and depletion

(2012) Martin Christen Frølund Thomsen et al.   NUCLEIC ACIDS RESEARCH

NetMHC-3.0: accurate web accessible predictions of human, mouse and monkey MHC class I affinities for peptides of length 8–11

(2008) Claus Lundegaard et al.   NUCLEIC ACIDS RESEARCH