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    Results: 1 to 20 of 110

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

    3.

    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

    4.

    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

    5.

    Prediction of MHC class II binders using the ant colony search strategy.

    Karpenko O, Shi J, Dai Y.

    Artif Intell Med. 2005 Sep-Oct;35(1-2):147-56.PMID: 16061368 [PubMed - indexed for MEDLINE]Related articles

    6.

    Prediction of MHC binding peptide using Gibbs motif sampler, weight matrix and artificial neural network.

    Singh SP, Mishra BN.

    Bioinformation. 2008;3(4):150-5. Epub 2008 Dec 6.PMID: 19238237 [PubMed - in process]Related articlesFree article

    7.

    Ab initio prediction of peptide-MHC binding geometry for diverse class I MHC allotypes.

    Bordner AJ, Abagyan R.

    Proteins. 2006 May 15;63(3):512-26.PMID: 16470819 [PubMed - indexed for MEDLINE]Related articles

    8.

    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

    9.

    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.PMID: 18771399 [PubMed - indexed for MEDLINE]Related articles

    10.

    Improving peptide-MHC class I binding prediction for unbalanced datasets.

    Sales AP, Tomaras GD, Kepler TB.

    BMC Bioinformatics. 2008 Sep 19;9:385.PMID: 18803836 [PubMed - indexed for MEDLINE]Related articlesFree article

    11.

    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

    12.

    On evaluating MHC-II binding peptide prediction methods.

    El-Manzalawy Y, Dobbs D, Honavar V.

    PLoS One. 2008 Sep 24;3(9):e3268.PMID: 18813344 [PubMed - indexed for MEDLINE]Related articlesFree article

    13.

    A systematic assessment of MHC class II peptide binding predictions and evaluation of a consensus approach.

    Wang P, Sidney J, Dow C, Mothé B, Sette A, Peters B.

    PLoS Comput Biol. 2008 Apr 4;4(4):e1000048.PMID: 18389056 [PubMed - indexed for MEDLINE]Related articlesFree article

    14.

    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 22;8:459.PMID: 18031584 [PubMed - indexed for MEDLINE]Related articlesFree article

    15.

    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

    16.

    Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models.

    Liu W, Meng X, Xu Q, Flower DR, Li T.

    BMC Bioinformatics. 2006 Mar 31;7:182.PMID: 16579851 [PubMed - indexed for MEDLINE]Related articlesFree article

    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 May-Jun;46(3):1491-502.PMID: 16711768 [PubMed - indexed for MEDLINE]Related articles

    18.

    Building a meta-predictor for MHC class II-binding peptides.

    Huang L, Karpenko O, Murugan N, Dai Y.

    Methods Mol Biol. 2007;409:355-64.PMID: 18450014 [PubMed - indexed for MEDLINE]Related articles

    19.

    Peptide length-based prediction of peptide-MHC class II binding.

    Chang ST, Ghosh D, Kirschner DE, Linderman JJ.

    Bioinformatics. 2006 Nov 15;22(22):2761-7. Epub 2006 Sep 25.PMID: 17000752 [PubMed - indexed for MEDLINE]Related articlesFree article

    20.

    POPI: predicting immunogenicity of MHC class I binding peptides by mining informative physicochemical properties.

    Tung CW, Ho SY.

    Bioinformatics. 2007 Apr 15;23(8):942-9. Epub 2007 Mar 24.PMID: 17384427 [PubMed - indexed for MEDLINE]Related articlesFree article

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