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The immune epitope database and analysis resource: from vision to blueprint

PLoS biology, 2005-03, Vol.3 (3), p.e91-e91

2005

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Accurate pan-specific prediction of peptide-MHC class II binding affinity with improved binding core identification

Immunogenetics (New York), 2015-11, Vol.67 (11-12), p.641-650

2015

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

The Journal of immunology (1950), 2016-08, Vol.197 (4), p.1517-1524

2016

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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

Immunogenetics (New York), 2013-10, Vol.65 (10), p.711-724

2013

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

Nucleic acids research, 2008-07, Vol.36 (Web Server issue), p.W509-W512

2008

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MHCcluster, a method for functional clustering of MHC molecules

Immunogenetics (New York), 2013-09, Vol.65 (9), p.655-665

2013

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MHC Class II epitope predictive algorithms

Immunology, 2010-07, Vol.130 (3), p.319-328

2010

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

BMC bioinformatics, 2014-07, Vol.15 (1), p.241-241, Article 241

2014

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

European journal of immunology, 2012-06, Vol.42 (6), p.1405-1416

2012

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Magnitude and Kinetics of CD8+ T Cell Activation during Hyperacute HIV Infection Impact Viral Set Point

Immunity (Cambridge, Mass.), 2015-09, Vol.43 (3), p.591-604

2015

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High-resolution Mapping of Linear Antibody Epitopes Using Ultrahigh-density Peptide Microarrays

Molecular & cellular proteomics, 2012-12, Vol.11 (12), p.1790-1800

2012

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

Immunology, 2014-01, Vol.141 (1), p.18-26

2014

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Major histocompatibility complex class I binding predictions as a tool in epitope discovery

Immunology, 2010-07, Vol.130 (3), p.309-318

2010

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Quantitative predictions of peptide binding to any HLA-DR molecule of known sequence: NetMHCIIpan

PLoS computational biology, 2008-07, Vol.4 (7), p.e1000107-e1000107

2008

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Real-time, high-throughput measurements of peptide–MHC-I dissociation using a scintillation proximity assay

Journal of immunological methods, 2011-11, Vol.374 (1), p.5-12

2011

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CD8+ T cells complement antibodies in protecting against yellow fever virus

The Journal of immunology (1950), 2015-02, Vol.194 (3), p.1141-1153

2015

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HIV Controllers Exhibit Enhanced Frequencies of Major Histocompatibility Complex Class II Tetramer + Gag-Specific CD4 + T Cells in Chronic Clade C HIV-1 Infection

Journal of virology, 2017-04, Vol.91 (7)

2017

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Comparison of vaccine-induced effector CD8 T cell responses directed against self- and non-self-tumor antigens: implications for cancer immunotherapy

The Journal of immunology (1950), 2013-10, Vol.191 (7), p.3955-3967

2013

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Different binding motifs of the celiac disease-associated HLA molecules DQ2.5, DQ2.2, and DQ7.5 revealed by relative quantitative proteomics of endogenous peptide repertoires

Immunogenetics (New York), 2015-02, Vol.67 (2), p.73-84

2015

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An integrative approach to CTL epitope prediction: A combined algorithm integrating MHC class I binding, TAP transport efficiency, and proteasomal cleavage predictions

European journal of immunology, 2005-08, Vol.35 (8), p.2295-2303

2005

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ArrayPitope: Automated Analysis of Amino Acid Substitutions for Peptide Microarray-Based Antibody Epitope Mapping

PloS one, 2017-01, Vol.12 (1), p.e0168453-e0168453

2017

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HLA class I is most tightly linked to levels of tapasin compared with other antigen-processing proteins in glioblastoma

British journal of cancer, 2015-09, Vol.113 (6), p.952-962

2015

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Antigen processing influences HIV-specific cytotoxic T lymphocyte immunodominance

Nature immunology, 2009-06, Vol.10 (6), p.636-646

2009

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A combined prediction strategy increases identification of peptides bound with high affinity and stability to porcine MHC class I molecules SLA-104:01, SLA-204:01, and SLA-304:01

Immunogenetics (New York), 2016-02, Vol.68 (2), p.157-165

2016

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Materno-Fetal Transfer of Preproinsulin Through the Neonatal Fc Receptor Prevents Autoimmune Diabetes

Diabetes (New York, N.Y.), 2015-10, Vol.64 (10), p.3532-3542

2015

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The immune epitope database and analysis resource: from vision to blueprint

Accurate pan-specific prediction of peptide-MHC class II binding affinity with improved binding core identification

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

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

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

MHCcluster, a method for functional clustering of MHC molecules

MHC Class II epitope predictive algorithms

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

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

Magnitude and Kinetics of CD8+ T Cell Activation during Hyperacute HIV Infection Impact Viral Set Point

High-resolution Mapping of Linear Antibody Epitopes Using Ultrahigh-density Peptide Microarrays

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

Major histocompatibility complex class I binding predictions as a tool in epitope discovery

Quantitative predictions of peptide binding to any HLA-DR molecule of known sequence: NetMHCIIpan

Real-time, high-throughput measurements of peptide–MHC-I dissociation using a scintillation proximity assay

CD8+ T cells complement antibodies in protecting against yellow fever virus

HIV Controllers Exhibit Enhanced Frequencies of Major Histocompatibility Complex Class II Tetramer + Gag-Specific CD4 + T Cells in Chronic Clade C HIV-1 Infection

Comparison of vaccine-induced effector CD8 T cell responses directed against self- and non-self-tumor antigens: implications for cancer immunotherapy

Different binding motifs of the celiac disease-associated HLA molecules DQ2.5, DQ2.2, and DQ7.5 revealed by relative quantitative proteomics of endogenous peptide repertoires

An integrative approach to CTL epitope prediction: A combined algorithm integrating MHC class I binding, TAP transport efficiency, and proteasomal cleavage predictions

ArrayPitope: Automated Analysis of Amino Acid Substitutions for Peptide Microarray-Based Antibody Epitope Mapping

HLA class I is most tightly linked to levels of tapasin compared with other antigen-processing proteins in glioblastoma

Antigen processing influences HIV-specific cytotoxic T lymphocyte immunodominance

A combined prediction strategy increases identification of peptides bound with high affinity and stability to porcine MHC class I molecules SLA-104:01, SLA-204:01, and SLA-304:01

Materno-Fetal Transfer of Preproinsulin Through the Neonatal Fc Receptor Prevents Autoimmune Diabetes

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