These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

161 related articles for article (PubMed ID: 24564280)

  • 1. MHC2SKpan: a novel kernel based approach for pan-specific MHC class II peptide binding prediction.
    Guo L; Luo C; Zhu S
    BMC Genomics; 2013; 14 Suppl 5(Suppl 5):S11. PubMed ID: 24564280
    [TBL] [Abstract][Full Text] [Related]  

  • 2. MHC2MIL: a novel multiple instance learning based method for MHC-II peptide binding prediction by considering peptide flanking region and residue positions.
    Xu Y; Luo C; Qian M; Huang X; Zhu S
    BMC Genomics; 2014; 15 Suppl 9(Suppl 9):S9. PubMed ID: 25521198
    [TBL] [Abstract][Full Text] [Related]  

  • 3. MultiRTA: a simple yet reliable method for predicting peptide binding affinities for multiple class II MHC allotypes.
    Bordner AJ; Mittelmann HD
    BMC Bioinformatics; 2010 Sep; 11():482. PubMed ID: 20868497
    [TBL] [Abstract][Full Text] [Related]  

  • 4. MetaMHCpan, A Meta Approach for Pan-Specific MHC Peptide Binding Prediction.
    Xu Y; Luo C; Mamitsuka H; Zhu S
    Methods Mol Biol; 2016; 1404():753-760. PubMed ID: 27076335
    [TBL] [Abstract][Full Text] [Related]  

  • 5. TEPITOPEpan: extending TEPITOPE for peptide binding prediction covering over 700 HLA-DR molecules.
    Zhang L; Chen Y; Wong HS; Zhou S; Mamitsuka H; Zhu S
    PLoS One; 2012; 7(2):e30483. PubMed ID: 22383964
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predicting Class II MHC-Peptide binding: a kernel based approach using similarity scores.
    Salomon J; Flower DR
    BMC Bioinformatics; 2006 Nov; 7():501. PubMed ID: 17105666
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Learning a peptide-protein binding affinity predictor with kernel ridge regression.
    Giguère S; Marchand M; Laviolette F; Drouin A; Corbeil J
    BMC Bioinformatics; 2013 Mar; 14():82. PubMed ID: 23497081
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Accurate pan-specific prediction of peptide-MHC class II binding affinity with improved binding core identification.
    Andreatta M; Karosiene E; Rasmussen M; Stryhn A; Buus S; Nielsen M
    Immunogenetics; 2015 Nov; 67(11-12):641-50. PubMed ID: 26416257
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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.
    Karosiene E; Rasmussen M; Blicher T; Lund O; Buus S; Nielsen M
    Immunogenetics; 2013 Oct; 65(10):711-24. PubMed ID: 23900783
    [TBL] [Abstract][Full Text] [Related]  

  • 10. NN-align. An artificial neural network-based alignment algorithm for MHC class II peptide binding prediction.
    Nielsen M; Lund O
    BMC Bioinformatics; 2009 Sep; 10():296. PubMed ID: 19765293
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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; 409():227-45. PubMed ID: 18450004
    [TBL] [Abstract][Full Text] [Related]  

  • 12. MetaMHC: a meta approach to predict peptides binding to MHC molecules.
    Hu X; Zhou W; Udaka K; Mamitsuka H; Zhu S
    Nucleic Acids Res; 2010 Jul; 38(Web Server issue):W474-9. PubMed ID: 20483919
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of human major histocompatibility complex class II binding peptides by continuous kernel discrimination method.
    He J; Yang G; Rao H; Li Z; Ding X; Chen Y
    Artif Intell Med; 2012 Jun; 55(2):107-15. PubMed ID: 22134095
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Improved peptide-MHC class II interaction prediction through integration of eluted ligand and peptide affinity data.
    Garde C; Ramarathinam SH; Jappe EC; Nielsen M; Kringelum JV; Trolle T; Purcell AW
    Immunogenetics; 2019 Jul; 71(7):445-454. PubMed ID: 31183519
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The Utility of Supertype Clustering in Prediction for Class II MHC-Peptide Binding.
    Shen WJ; Zhang X; Zhang S; Liu C; Cui W
    Molecules; 2018 Nov; 23(11):. PubMed ID: 30463372
    [TBL] [Abstract][Full Text] [Related]  

  • 16. MHCII3D-Robust Structure Based Prediction of MHC II Binding Peptides.
    Laimer J; Lackner P
    Int J Mol Sci; 2020 Dec; 22(1):. PubMed ID: 33374958
    [TBL] [Abstract][Full Text] [Related]  

  • 17. MHC class II epitope predictive algorithms.
    Nielsen M; Lund O; Buus S; Lundegaard C
    Immunology; 2010 Jul; 130(3):319-28. PubMed ID: 20408898
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Structural properties of MHC class II ligands, implications for the prediction of MHC class II epitopes.
    Jørgensen KW; Buus S; Nielsen M
    PLoS One; 2010 Dec; 5(12):e15877. PubMed ID: 21209859
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Pan-specific MHC class I predictors: a benchmark of HLA class I pan-specific prediction methods.
    Zhang H; Lundegaard C; Nielsen M
    Bioinformatics; 2009 Jan; 25(1):83-9. PubMed ID: 18996943
    [TBL] [Abstract][Full Text] [Related]  

  • 20. MHC-BPS: MHC-binder prediction server for identifying peptides of flexible lengths from sequence-derived physicochemical properties.
    Cui J; Han LY; Lin HH; Tang ZQ; Jiang L; Cao ZW; Chen YZ
    Immunogenetics; 2006 Aug; 58(8):607-13. PubMed ID: 16832638
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.