BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

296 related articles for article (PubMed ID: 17252308)

  • 1. Prediction of linear B-cell epitopes using amino acid pair antigenicity scale.
    Chen J; Liu H; Yang J; Chou KC
    Amino Acids; 2007 Sep; 33(3):423-8. PubMed ID: 17252308
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine learning approaches for prediction of linear B-cell epitopes on proteins.
    Söllner J; Mayer B
    J Mol Recognit; 2006; 19(3):200-8. PubMed ID: 16598694
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Estimation and extraction of B-cell linear epitopes predicted by mathematical morphology approaches.
    Chang HT; Liu CH; Pai TW
    J Mol Recognit; 2008; 21(6):431-41. PubMed ID: 18680207
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Selection and combination of machine learning classifiers for prediction of linear B-cell epitopes on proteins.
    Söllner J
    J Mol Recognit; 2006; 19(3):209-14. PubMed ID: 16602136
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Benchmarking B cell epitope prediction: underperformance of existing methods.
    Blythe MJ; Flower DR
    Protein Sci; 2005 Jan; 14(1):246-8. PubMed ID: 15576553
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Harnessing Computational Biology for Exact Linear B-Cell Epitope Prediction: A Novel Amino Acid Composition-Based Feature Descriptor.
    Saravanan V; Gautham N
    OMICS; 2015 Oct; 19(10):648-58. PubMed ID: 26406767
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predicting B cell epitope residues with network topology based amino acid indices.
    Huang J; Honda W; Kanehisa M
    Genome Inform; 2007; 19():40-9. PubMed ID: 18546503
    [TBL] [Abstract][Full Text] [Related]  

  • 8. What is a B-cell epitope?
    Van Regenmortel MH
    Methods Mol Biol; 2009; 524():3-20. PubMed ID: 19377933
    [TBL] [Abstract][Full Text] [Related]  

  • 9. PEPITO: improved discontinuous B-cell epitope prediction using multiple distance thresholds and half sphere exposure.
    Sweredoski MJ; Baldi P
    Bioinformatics; 2008 Jun; 24(12):1459-60. PubMed ID: 18443018
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Support Vector Machine-based classification of protein folds using the structural properties of amino acid residues and amino acid residue pairs.
    Shamim MT; Anwaruddin M; Nagarajaram HA
    Bioinformatics; 2007 Dec; 23(24):3320-7. PubMed ID: 17989092
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Machine learning-based methods for prediction of linear B-cell epitopes.
    Wang HW; Pai TW
    Methods Mol Biol; 2014; 1184():217-36. PubMed ID: 25048127
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A machine learning based method for the prediction of secretory proteins using amino acid composition, their order and similarity-search.
    Garg A; Raghava GP
    In Silico Biol; 2008; 8(2):129-40. PubMed ID: 18928201
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An in silico method using an epitope motif database for predicting the location of antigenic determinants on proteins in a structural context.
    Batori V; Friis EP; Nielsen H; Roggen EL
    J Mol Recognit; 2006; 19(1):21-9. PubMed ID: 16193533
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Use of Luminex xMAP-derived Bio-Plex bead-based suspension array for specific detection of PPV W and characterization of epitopes on the coat protein of the virus.
    Croft H; Malinowski T; Krizbai L; Mikec I; Kajic V; Reed C; Varga A; James D
    J Virol Methods; 2008 Nov; 153(2):203-13. PubMed ID: 18722476
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of immunodominant helper T cell antigenic sites from the primary sequence.
    Margalit H; Spouge JL; Cornette JL; Cease KB; Delisi C; Berzofsky JA
    J Immunol; 1987 Apr; 138(7):2213-29. PubMed ID: 2435793
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting disulfide connectivity from protein sequence using multiple sequence feature vectors and secondary structure.
    Song J; Yuan Z; Tan H; Huber T; Burrage K
    Bioinformatics; 2007 Dec; 23(23):3147-54. PubMed ID: 17942444
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A machine-learning approach for predicting B-cell epitopes.
    Rubinstein ND; Mayrose I; Pupko T
    Mol Immunol; 2009 Feb; 46(5):840-7. PubMed ID: 18947876
    [TBL] [Abstract][Full Text] [Related]  

  • 18. SVM-HUSTLE--an iterative semi-supervised machine learning approach for pairwise protein remote homology detection.
    Shah AR; Oehmen CS; Webb-Robertson BJ
    Bioinformatics; 2008 Mar; 24(6):783-90. PubMed ID: 18245127
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Bioinformatics and immunologic investigation on B and T cell epitopes of Cur l 3, a major allergen of Curvularia lunata.
    Sharma V; Singh BP; Gaur SN; Pasha S; Arora N
    J Proteome Res; 2009 Jun; 8(6):2650-5. PubMed ID: 19290623
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Improved prediction of subcellular location for apoptosis proteins by the dual-layer support vector machine.
    Zhou XB; Chen C; Li ZC; Zou XY
    Amino Acids; 2008 Aug; 35(2):383-8. PubMed ID: 18157588
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.