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Journal Abstract Search

221 related items for PubMed ID: 25708537

  • 1. Deciphering complex patterns of class-I HLA-peptide cross-reactivity via hierarchical grouping.
    Mukherjee S, Warwicker J, Chandra N.
    Immunol Cell Biol; 2015 Jul; 93(6):522-32. PubMed ID: 25708537
    [Abstract] [Full Text] [Related]

  • 2. Development and validation of an epitope prediction tool for swine (PigMatrix) based on the pocket profile method.
    Gutiérrez AH, Martin WD, Bailey-Kellogg C, Terry F, Moise L, De Groot AS.
    BMC Bioinformatics; 2015 Sep 15; 16():290. PubMed ID: 26370412
    [Abstract] [Full Text] [Related]

  • 3. Class II HLA-peptide binding prediction using structural principles.
    Mohanapriya A, Lulu S, Kayathri R, Kangueane P.
    Hum Immunol; 2009 Mar 15; 70(3):159-69. PubMed ID: 19187794
    [Abstract] [Full Text] [Related]

  • 4. Anti-HLA-E mAb 3D12 mimics MEM-E/02 in binding to HLA-B and HLA-C alleles: Web-tools validate the immunogenic epitopes of HLA-E recognized by the antibodies.
    Ravindranath MH, Pham T, El-Awar N, Kaneku H, Terasaki PI.
    Mol Immunol; 2011 Jan 15; 48(4):423-30. PubMed ID: 21145594
    [Abstract] [Full Text] [Related]

  • 5. Toward the prediction of class I and II mouse major histocompatibility complex-peptide-binding affinity: in silico bioinformatic step-by-step guide using quantitative structure-activity relationships.
    Hattotuwagama CK, Doytchinova IA, Flower DR.
    Methods Mol Biol; 2007 Jan 15; 409():227-45. PubMed ID: 18450004
    [Abstract] [Full Text] [Related]

  • 6. Sequence conservation analysis and in silico human leukocyte antigen-peptide binding predictions for the Mtb72F and M72 tuberculosis candidate vaccine antigens.
    Mortier MC, Jongert E, Mettens P, Ruelle JL.
    BMC Immunol; 2015 Oct 22; 16():63. PubMed ID: 26493839
    [Abstract] [Full Text] [Related]

  • 7. HLA class I supertypes: a revised and updated classification.
    Sidney J, Peters B, Frahm N, Brander C, Sette A.
    BMC Immunol; 2008 Jan 22; 9():1. PubMed ID: 18211710
    [Abstract] [Full Text] [Related]

  • 8. A population response analysis approach to assign class II HLA-epitope restrictions.
    Paul S, Dillon MBC, Arlehamn CSL, Huang H, Davis MM, McKinney DM, Scriba TJ, Sidney J, Peters B, Sette A.
    J Immunol; 2015 Jun 15; 194(12):6164-6176. PubMed ID: 25948811
    [Abstract] [Full Text] [Related]

  • 9. Structural and Biochemical Analyses of Swine Major Histocompatibility Complex Class I Complexes and Prediction of the Epitope Map of Important Influenza A Virus Strains.
    Fan S, Wu Y, Wang S, Wang Z, Jiang B, Liu Y, Liang R, Zhou W, Zhang N, Xia C.
    J Virol; 2016 Aug 01; 90(15):6625-6641. PubMed ID: 27170754
    [Abstract] [Full Text] [Related]

  • 10. Prediction and analysis of promiscuous T cell-epitopes derived from the vaccine candidate antigens of Leishmania donovani binding to MHC class-II alleles using in silico approach.
    Kashyap M, Jaiswal V, Farooq U.
    Infect Genet Evol; 2017 Sep 01; 53():107-115. PubMed ID: 28549876
    [Abstract] [Full Text] [Related]

  • 11. A combined prediction strategy increases identification of peptides bound with high affinity and stability to porcine MHC class I molecules SLA-1*04:01, SLA-2*04:01, and SLA-3*04:01.
    Pedersen LE, Rasmussen M, Harndahl M, Nielsen M, Buus S, Jungersen G.
    Immunogenetics; 2016 Feb 01; 68(2):157-65. PubMed ID: 26572135
    [Abstract] [Full Text] [Related]

  • 12. Emerging principles for the recognition of peptide antigens by MHC class I molecules.
    Matsumura M, Fremont DH, Peterson PA, Wilson IA.
    Science; 1992 Aug 14; 257(5072):927-34. PubMed ID: 1323878
    [Abstract] [Full Text] [Related]

  • 13. Prediction of MHC class I binding peptides with a new feature encoding technique.
    Gök M, Özcerit AT.
    Cell Immunol; 2012 Aug 14; 275(1-2):1-4. PubMed ID: 22531484
    [Abstract] [Full Text] [Related]

  • 14. The Length Distribution and Multiple Specificity of Naturally Presented HLA-I Ligands.
    Gfeller D, Guillaume P, Michaux J, Pak HS, Daniel RT, Racle J, Coukos G, Bassani-Sternberg M.
    J Immunol; 2018 Dec 15; 201(12):3705-3716. PubMed ID: 30429286
    [Abstract] [Full Text] [Related]

  • 15. Cytotoxic T cell recognition of allelic variants of HLA B35 bound to an Epstein-Barr virus epitope: influence of peptide conformation and TCR-peptide interaction.
    Khanna R, Silins SL, Weng Z, Gatchell D, Burrows SR, Cooper L.
    Eur J Immunol; 1999 May 15; 29(5):1587-97. PubMed ID: 10359113
    [Abstract] [Full Text] [Related]

  • 16. Pocketcheck: updating the HLA class I peptide specificity roadmap.
    Huyton T, Ladas N, Schumacher H, Blasczyk R, Bade-Doeding C.
    Tissue Antigens; 2012 Sep 15; 80(3):239-48. PubMed ID: 22803829
    [Abstract] [Full Text] [Related]

  • 17. Peptide binding motifs for MHC class I and II molecules.
    Biddison WE, Martin R.
    Curr Protoc Immunol; 2001 May 15; Appendix 1():Appendix 1I. PubMed ID: 18432645
    [Abstract] [Full Text] [Related]

  • 18. HLA-E: a novel player for histocompatibility.
    Kraemer T, Blasczyk R, Bade-Doeding C.
    J Immunol Res; 2014 May 15; 2014():352160. PubMed ID: 25401109
    [Abstract] [Full Text] [Related]

  • 19. Immunodominance across HLA polymorphism: implications for cancer immunotherapy.
    Kim CJ, Parkinson DR, Marincola F.
    J Immunother; 1998 Jan 15; 21(1):1-16. PubMed ID: 9456431
    [Abstract] [Full Text] [Related]

  • 20. Deep convolutional neural networks for pan-specific peptide-MHC class I binding prediction.
    Han Y, Kim D.
    BMC Bioinformatics; 2017 Dec 28; 18(1):585. PubMed ID: 29281985
    [Abstract] [Full Text] [Related]

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