TANTIGEN: a comprehensive database of tumor T cell antigens
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Vladimir Brusic | Guang Lan Zhang | Lars Rønn Olsen | Ellis L. Reinherz | V. Brusic | Honghuang Lin | Songsak Tongchusak | E. Reinherz | L. Olsen | G. Zhang | Songsak Tongchusak | Honghuang Lin | S. Tongchusak
[1] J. Castle,et al. Exploiting the mutanome for tumor vaccination. , 2012, Cancer research.
[2] J. Sidney,et al. Genomic and bioinformatic profiling of mutational neoepitopes reveals new rules to predict anticancer immunogenicity , 2014, The Journal of experimental medicine.
[3] P. Bruggen,et al. Human tumor antigens recognized by T lymphocytes , 1996, The Journal of experimental medicine.
[4] Morten Nielsen,et al. NetMHC-3.0: accurate web accessible predictions of human, mouse and monkey MHC class I affinities for peptides of length 8–11 , 2008, Nucleic Acids Res..
[5] G. Parmiani,et al. A listing of human tumor antigens recognized by T cells: March 2004 update , 2005, Cancer Immunology, Immunotherapy.
[6] Vladimir Brusic,et al. Tumor antigens as proteogenomic biomarkers in invasive ductal carcinomas , 2014, BMC Medical Genomics.
[7] V. Brusic,et al. Bioinformatics for cancer immunotherapy target discovery , 2014, Cancer Immunology, Immunotherapy.
[8] María Martín,et al. UniProt: A hub for protein information , 2015 .
[9] The Uniprot Consortium,et al. UniProt: a hub for protein information , 2014, Nucleic Acids Res..
[10] Ellis L Reinherz,et al. αβ TCR-Mediated Recognition: Relevance to Tumor-Antigen Discovery and Cancer Immunotherapy , 2015, Cancer Immunology Research.
[11] O. Lund,et al. NetMHCIIpan-2.0 - Improved pan-specific HLA-DR predictions using a novel concurrent alignment and weight optimization training procedure , 2010, Immunome research.
[12] W. Zou. Regulatory T cells, tumour immunity and immunotherapy , 2006, Nature Reviews Immunology.
[13] Alessandro Sette,et al. Cost sensitive hierarchical document classification to triage PubMed abstracts for manual curation , 2011, BMC Bioinformatics.
[14] P. van der Bruggen,et al. T cell defined tumor antigens. , 1997, Current opinion in immunology.
[15] Vladimir Brusic,et al. Literature classification for semi-automated updating of biological knowledgebases , 2013, BMC Genomics.
[16] P. Srivastava. Neoepitopes of Cancers: Looking Back, Looking Ahead , 2015, Cancer Immunology Research.
[17] Alessandro Sette,et al. The Immune Epitope Database 2.0 , 2009, Nucleic Acids Res..
[18] M. Stratton,et al. Tumor exome analysis reveals neoantigen-specific T-cell reactivity in an ipilimumab-responsive melanoma. , 2013, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[19] O. Lund,et al. NetMHCpan, a Method for Quantitative Predictions of Peptide Binding to Any HLA-A and -B Locus Protein of Known Sequence , 2007, PloS one.
[20] Jimmy Lin,et al. Mining Exomic Sequencing Data to Identify Mutated Antigens Recognized by Adoptively Transferred Tumor-reactive T cells , 2013, Nature Medicine.
[21] H. Rammensee,et al. SYFPEITHI: database for MHC ligands and peptide motifs , 1999, Immunogenetics.
[22] J. Castle,et al. Mutant MHC class II epitopes drive therapeutic immune responses to cancer , 2015, Nature.
[23] E. Myers,et al. Basic local alignment search tool. , 1990, Journal of molecular biology.
[24] Mingming Jia,et al. COSMIC: exploring the world's knowledge of somatic mutations in human cancer , 2014, Nucleic Acids Res..
[25] Morten Nielsen,et al. Automated benchmarking of peptide-MHC class I binding predictions , 2015, Bioinform..
[26] P. Bruggen,et al. Tumor antigens recognized by T lymphocytes. , 1994, Annual review of immunology.
[27] C. June,et al. Going viral: chimeric antigen receptor T‐cell therapy for hematological malignancies , 2015, Immunological reviews.
[28] K. Katoh,et al. MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability , 2013, Molecular biology and evolution.
[29] Deborah Hix,et al. The immune epitope database (IEDB) 3.0 , 2014, Nucleic Acids Res..
[30] Harris Papadopoulos,et al. Machine learning competition in immunology - Prediction of HLA class I binding peptides. , 2011, Journal of immunological methods.
[31] C. Harding,et al. Pathways of antigen processing. , 1991, Current opinion in immunology.
[32] Vladimir Brusic,et al. Big Data Analytics in Immunology: A Knowledge-Based Approach , 2014, BioMed research international.
[33] J. Wolchok,et al. Genetic basis for clinical response to CTLA-4 blockade in melanoma. , 2014, The New England journal of medicine.
[34] Steven A. Rosenberg,et al. Adoptive immunotherapy for cancer: harnessing the T cell response , 2012, Nature Reviews Immunology.
[35] Tsviya Olender,et al. GeneCards Version 3: the human gene integrator , 2010, Database J. Biol. Databases Curation.
[36] P. Robbins,et al. A listing of human tumor antigens recognized by T cells , 2001, Cancer Immunology, Immunotherapy.
[37] J. Greenbaum,et al. T‐cell recognition is shaped by epitope sequence conservation in the host proteome and microbiome , 2016, Immunology.
[38] Jennifer G. Abelin,et al. Mass Spectrometry Profiling of HLA‐Associated Peptidomes in Mono‐allelic Cells Enables More Accurate Epitope Prediction , 2017, Immunity.
[39] Nathalie Vigneron,et al. Database of T cell-defined human tumor antigens: the 2013 update. , 2013, Cancer immunity.
[40] D. Keskin,et al. Forward Vaccinology: CTL Targeting Based upon Physical Detection of HLA-Bound Peptides , 2014, Front. Immunol..
[41] D. Keskin,et al. Molecular Detection of Targeted Major Histocompatibility Complex I-Bound Peptides Using a Probabilistic Measure and Nanospray MS3 on a Hybrid Quadrupole-Linear Ion Trap , 2010, Analytical chemistry.