BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

216 related articles for article (PubMed ID: 22134095)

  • 1. 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]  

  • 2. 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]  

  • 3. Application of machine learning techniques in predicting MHC binders.
    Lata S; Bhasin M; Raghava GP
    Methods Mol Biol; 2007; 409():201-15. PubMed ID: 18450002
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. In silico prediction of peptide-MHC binding affinity using SVRMHC.
    Liu W; Wan J; Meng X; Flower DR; Li T
    Methods Mol Biol; 2007; 409():283-91. PubMed ID: 18450008
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Learning MHC I--peptide binding.
    Jojic N; Reyes-Gomez M; Heckerman D; Kadie C; Schueler-Furman O
    Bioinformatics; 2006 Jul; 22(14):e227-35. PubMed ID: 16873476
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prediction of MHC class II binders using the ant colony search strategy.
    Karpenko O; Shi J; Dai Y
    Artif Intell Med; 2005; 35(1-2):147-56. PubMed ID: 16061368
    [TBL] [Abstract][Full Text] [Related]  

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

  • 10. A Bayesian regression approach to the prediction of MHC-II binding affinity.
    Zhang W; Liu J; Niu YQ; Wang L; Hu X
    Comput Methods Programs Biomed; 2008 Oct; 92(1):1-7. PubMed ID: 18562039
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Structure-based identification of MHC binding peptides: Benchmarking of prediction accuracy.
    Kumar N; Mohanty D
    Mol Biosyst; 2010 Dec; 6(12):2508-20. PubMed ID: 20953500
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. BiodMHC: an online server for the prediction of MHC class II-peptide binding affinity.
    Wang L; Pan D; Hu X; Xiao J; Gao Y; Zhang H; Zhang Y; Liu J; Zhu S
    J Genet Genomics; 2009 May; 36(5):289-96. PubMed ID: 19447377
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of peptide binding to major histocompatibility complex class II molecules through use of boosted fuzzy classifier with SWEEP operator method.
    Takahashi H; Honda H
    J Biosci Bioeng; 2006 Feb; 101(2):137-41. PubMed ID: 16569609
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Support vector machine-based prediction of MHC-binding peptides.
    Dönnes P
    Methods Mol Biol; 2007; 409():273-82. PubMed ID: 18450007
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Efficient peptide-MHC-I binding prediction for alleles with few known binders.
    Jacob L; Vert JP
    Bioinformatics; 2008 Feb; 24(3):358-66. PubMed ID: 18083718
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Toward prediction of class II mouse major histocompatibility complex peptide binding affinity: in silico bioinformatic evaluation using partial least squares, a robust multivariate statistical technique.
    Hattotuwagama CK; Toseland CP; Guan P; Taylor DJ; Hemsley SL; Doytchinova IA; Flower DR
    J Chem Inf Model; 2006; 46(3):1491-502. PubMed ID: 16711768
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. 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]  

  • 20. Predicting peptide binding to Major Histocompatibility Complex molecules.
    Liao WW; Arthur JW
    Autoimmun Rev; 2011 Jun; 10(8):469-73. PubMed ID: 21333759
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.