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    Results: 1 to 20 of 287

    1.

    Evaluation of MHC class I peptide binding prediction servers: applications for vaccine research.

    Lin HH, Ray S, Tongchusak S, Reinherz EL, Brusic V.

    BMC Immunol. 2008 Mar 16;9:8.PMID: 18366636 [PubMed - indexed for MEDLINE]Related articlesFree article

    2.

    Evaluation of MHC-II peptide binding prediction servers: applications for vaccine research.

    Lin HH, Zhang GL, Tongchusak S, Reinherz EL, Brusic V.

    BMC Bioinformatics. 2008 Dec 12;9 Suppl 12:S22.PMID: 19091022 [PubMed - indexed for MEDLINE]Related articlesFree article

    3.

    Prediction of MHC class I binding peptides, using SVMHC.

    Dönnes P, Elofsson A.

    BMC Bioinformatics. 2002 Sep 11;3:25.PMID: 12225620 [PubMed - indexed for MEDLINE]Related articlesFree article

    4.

    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 1;25(1):83-9. Epub 2008 Nov 7.PMID: 18996943 [PubMed - indexed for MEDLINE]Related articles

    5.

    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.PMID: 18450004 [PubMed - indexed for MEDLINE]Related articles

    6.

    Methods for prediction of peptide binding to MHC molecules: a comparative study.

    Yu K, Petrovsky N, Schönbach C, Koh JY, Brusic V.

    Mol Med. 2002 Mar;8(3):137-48.PMID: 12142545 [PubMed - indexed for MEDLINE]Related articlesFree article

    7.

    PEPVAC: a web server for multi-epitope vaccine development based on the prediction of supertypic MHC ligands.

    Reche PA, Reinherz EL.

    Nucleic Acids Res. 2005 Jul 1;33(Web Server issue):W138-42.PMID: 15980443 [PubMed - indexed for MEDLINE]Related articlesFree article

    8.

    Predicting class I major histocompatibility complex (MHC) binders using multivariate statistics: comparison of discriminant analysis and multiple linear regression.

    Doytchinova IA, Flower DR.

    J Chem Inf Model. 2007 Jan-Feb;47(1):234-8.PMID: 17238269 [PubMed - indexed for MEDLINE]Related articles

    9.

    PepDist: a new framework for protein-peptide binding prediction based on learning peptide distance functions.

    Hertz T, Yanover C.

    BMC Bioinformatics. 2006 Mar 20;7 Suppl 1:S3.PMID: 16723006 [PubMed - indexed for MEDLINE]Related articlesFree article

    10.

    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 4;8:238.PMID: 17608956 [PubMed - indexed for MEDLINE]Related articlesFree article

    11.

    Structural prediction of peptides binding to MHC class I molecules.

    Bui HH, Schiewe AJ, von Grafenstein H, Haworth IS.

    Proteins. 2006 Apr 1;63(1):43-52.PMID: 16447245 [PubMed - indexed for MEDLINE]Related articles

    12.

    Automated generation and evaluation of specific MHC binding predictive tools: ARB matrix applications.

    Bui HH, Sidney J, Peters B, Sathiamurthy M, Sinichi A, Purton KA, Mothé BR, Chisari FV, Watkins DI, Sette A.

    Immunogenetics. 2005 Jun;57(5):304-14. Epub 2005 May 3.PMID: 15868141 [PubMed - indexed for MEDLINE]Related articles

    13.

    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 12;20(9):1388-97. Epub 2004 Feb 12.PMID: 14962912 [PubMed - indexed for MEDLINE]Related articlesFree article

    14.

    An automated prediction of MHC class I-binding peptides based on positional scanning with peptide libraries.

    Udaka K, Wiesmüller KH, Kienle S, Jung G, Tamamura H, Yamagishi H, Okumura K, Walden P, Suto T, Kawasaki T.

    Immunogenetics. 2000 Aug;51(10):816-28.PMID: 10970096 [PubMed - indexed for MEDLINE]Related articles

    15.

    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. Epub 2006 Jul 11.PMID: 16832638 [PubMed - indexed for MEDLINE]Related articles

    16.

    Class I T-cell epitope prediction: improvements using a combination of proteasome cleavage, TAP affinity, and MHC binding.

    Doytchinova IA, Flower DR.

    Mol Immunol. 2006 May;43(13):2037-44. Epub 2006 Mar 9.PMID: 16524630 [PubMed - indexed for MEDLINE]Related articles

    17.

    Prediction of peptide-MHC binding using profiles.

    Reche PA, Reinherz EL.

    Methods Mol Biol. 2007;409:185-200.PMID: 18450001 [PubMed - indexed for MEDLINE]Related articles

    18.

    Predicting Class II MHC-Peptide binding: a kernel based approach using similarity scores.

    Salomon J, Flower DR.

    BMC Bioinformatics. 2006 Nov 14;7:501.PMID: 17105666 [PubMed - indexed for MEDLINE]Related articlesFree article

    19.

    A hybrid approach for predicting promiscuous MHC class I restricted T cell epitopes.

    Bhasin M, Raghava GP.

    J Biosci. 2007 Jan;32(1):31-42. Erratum in: J Biosci. 2007 Jun;32(4):805. PMID: 17426378 [PubMed - indexed for MEDLINE]Related articlesFree article

    20.

    Prediction of promiscuous and high-affinity mutated MHC binders.

    Bhasin M, Raghava GP.

    Hybrid Hybridomics. 2003 Aug;22(4):229-34.PMID: 14511568 [PubMed - indexed for MEDLINE]Related articles

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