Identification and validation of 174 COVID-19 vaccine candidate epitopes reveals low performance of common epitope prediction tools

A new coronavirus associated with human respiratory disease in China

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A Sequence Homology and Bioinformatic Approach Can Predict Candidate Targets for Immune Responses to SARS-CoV-2

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SARS-CoV-2-specific T cell immunity in cases of COVID-19 and SARS, and uninfected controls

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Selective and cross-reactive SARS-CoV-2 T cell epitopes in unexposed humans

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Broad and strong memory CD4+ and CD8+ T cells induced by SARS-CoV-2 in UK convalescent individuals following COVID-19

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Structure and Peptidome of the Bat MHC Class I Molecule Reveal a Novel Mechanism Leading to High-Affinity Peptide Binding

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DeepHLApan: A Deep Learning Approach for Neoantigen Prediction Considering Both HLA-Peptide Binding and Immunogenicity

(2019) Jingcheng Wu et al.   Frontiers in Immunology

A large peptidome dataset improves HLA class I epitope prediction across most of the human population

(2019) Siranush Sarkizova et al.   NATURE BIOTECHNOLOGY

Improved methods for predicting peptide binding affinity to MHC class II molecules

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The Immune Epitope Database (IEDB): 2018 update

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High-Throughput Stability Screening of Neoantigen/HLA Complexes Improves Immunogenicity Predictions

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

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

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Major Histocompatibility Complex (MHC) Class I and MHC Class II Proteins: Conformational Plasticity in Antigen Presentation

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Taxonomic structure and functional association of foxtail millet root microbiome

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

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Automated benchmarking of peptide-MHC class I binding predictions

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Dataset size and composition impact the reliability of performance benchmarks for peptide-MHC binding predictions

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

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EpicCapo: epitope prediction using combined information of amino acid pairwise contact potentials and HLA-peptide contact site information

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

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

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Quantitating T Cell Cross-Reactivity for Unrelated Peptide Antigens

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A Systematic Assessment of MHC Class II Peptide Binding Predictions and Evaluation of a Consensus Approach

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