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 *

259 related articles for article (PubMed ID: 21073747)

  • 1. NetMHCIIpan-2.0 - Improved pan-specific HLA-DR predictions using a novel concurrent alignment and weight optimization training procedure.
    Nielsen M; Justesen S; Lund O; Lundegaard C; Buus S
    Immunome Res; 2010 Nov; 6():9. PubMed ID: 21073747
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. 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]  

  • 4. Quantitative predictions of peptide binding to any HLA-DR molecule of known sequence: NetMHCIIpan.
    Nielsen M; Lundegaard C; Blicher T; Peters B; Sette A; Justesen S; Buus S; Lund O
    PLoS Comput Biol; 2008 Jul; 4(7):e1000107. PubMed ID: 18604266
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction of MHC class II binding affinity using SMM-align, a novel stabilization matrix alignment method.
    Nielsen M; Lundegaard C; Lund O
    BMC Bioinformatics; 2007 Jul; 8():238. PubMed ID: 17608956
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. NetMHCpan-4.1 and NetMHCIIpan-4.0: improved predictions of MHC antigen presentation by concurrent motif deconvolution and integration of MS MHC eluted ligand data.
    Reynisson B; Alvarez B; Paul S; Peters B; Nielsen M
    Nucleic Acids Res; 2020 Jul; 48(W1):W449-W454. PubMed ID: 32406916
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Improved methods for predicting peptide binding affinity to MHC class II molecules.
    Jensen KK; Andreatta M; Marcatili P; Buus S; Greenbaum JA; Yan Z; Sette A; Peters B; Nielsen M
    Immunology; 2018 Jul; 154(3):394-406. PubMed ID: 29315598
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting peptides binding to MHC class II molecules using multi-objective evolutionary algorithms.
    Rajapakse M; Schmidt B; Feng L; Brusic V
    BMC Bioinformatics; 2007 Nov; 8():459. PubMed ID: 18031584
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. NetMHCcons: a consensus method for the major histocompatibility complex class I predictions.
    Karosiene E; Lundegaard C; Lund O; Nielsen M
    Immunogenetics; 2012 Mar; 64(3):177-86. PubMed ID: 22009319
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. An effective and effecient peptide binding prediction approach for a broad set of HLA-DR molecules based on ordered weighted averaging of binding pocket profiles.
    Shen WJ; Zhang S; Wong HS
    Proteome Sci; 2013 Nov; 11(Suppl 1):S15. PubMed ID: 24565049
    [TBL] [Abstract][Full Text] [Related]  

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

  • 18. 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]  

  • 19. NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets.
    Nielsen M; Andreatta M
    Genome Med; 2016 Mar; 8(1):33. PubMed ID: 27029192
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Trans-Allelic Model for Prediction of Peptide:MHC-II Interactions.
    Degoot AM; Chirove F; Ndifon W
    Front Immunol; 2018; 9():1410. PubMed ID: 29988560
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.