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 *

123 related articles for article (PubMed ID: 17369651)

  • 1. Predicting the binding affinity of MHC class II peptides.
    Altiparmak F; Akalin A; Ferhatosmanoglu H
    Comput Syst Bioinformatics Conf; 2006; ():331-4. PubMed ID: 17369651
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Peptide length-based prediction of peptide-MHC class II binding.
    Chang ST; Ghosh D; Kirschner DE; Linderman JJ
    Bioinformatics; 2006 Nov; 22(22):2761-7. PubMed ID: 17000752
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Structural prediction of peptides binding to MHC class I molecules.
    Bui HH; Schiewe AJ; von Grafenstein H; Haworth IS
    Proteins; 2006 Apr; 63(1):43-52. PubMed ID: 16447245
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A novel Locally Linear Embedding and Wavelet Transform based encoding method for prediction of MHC-II binding affinity.
    Liu J; Li QJ; Zhang W
    Interdiscip Sci; 2010 Jun; 2(2):145-50. PubMed ID: 20640782
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Static energy analysis of MHC class I and class II peptide-binding affinity.
    Davies MN; Flower DR
    Methods Mol Biol; 2007; 409():309-20. PubMed ID: 18450011
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Similarity between segments in protein conformational epitopes and MHC II peptides.
    Li G; Wu D; Wang S; Sun J; Xu D; Cao Z
    Int J Comput Biol Drug Des; 2013; 6(1-2):107-18. PubMed ID: 23428477
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Improved prediction of MHC class I and class II epitopes using a novel Gibbs sampling approach.
    Nielsen M; Lundegaard C; Worning P; Hvid CS; Lamberth K; Buus S; Brunak S; Lund O
    Bioinformatics; 2004 Jun; 20(9):1388-97. PubMed ID: 14962912
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. POPI: predicting immunogenicity of MHC class I binding peptides by mining informative physicochemical properties.
    Tung CW; Ho SY
    Bioinformatics; 2007 Apr; 23(8):942-9. PubMed ID: 17384427
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Towards universal structure-based prediction of class II MHC epitopes for diverse allotypes.
    Bordner AJ
    PLoS One; 2010 Dec; 5(12):e14383. PubMed ID: 21187956
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A practical guide to structure-based prediction of MHC-binding peptides.
    Ranganathan S; Tong JC
    Methods Mol Biol; 2007; 409():301-8. PubMed ID: 18450010
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting MHC-II binding affinity using multiple instance regression.
    EL-Manzalawy Y; Dobbs D; Honavar V
    IEEE/ACM Trans Comput Biol Bioinform; 2011; 8(4):1067-79. PubMed ID: 20855923
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. Shift-invariant adaptive double threading: learning MHC II-peptide binding.
    Zaitlen N; Reyes-Gomez M; Heckerman D; Jojic N
    J Comput Biol; 2008 Sep; 15(7):927-42. PubMed ID: 18771399
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 7.