9) MULTIPRED: a computational system for prediction of promiscuous HLA binding.
Zhang GL, Khan AM, Srinivasan KN, August JT, Brusic V.
Nucleic Acids Res. 2005 Jul 1;33(Web Server issue):W172-9.
PUBMED PMID: 15980449
Out link: Full-text
Impact Factor Year 2009: 7.479
No. of Citations: 70 (total): 51 (non-self) & 19 (self)
ABSTRACT :
MULTIPRED is a web-based computational system for the prediction of peptide binding to multiple molecules (proteins) belonging to human leukocyte antigens (HLA) class I A2, A3 and class II DR supertypes. It uses hidden Markov models and artificial neural network methods as predictive engines. A novel data representation method enables MULTIPRED to predict peptides that promiscuously bind multiple HLA alleles within one HLA supertype. Extensive testing was performed for validation of the prediction models. Testing results show that MULTIPRED is both sensitive and specific and it has good predictive ability (area under the receiver operating characteristic curve A(ROC) > 0.80). MULTIPRED can be used for the mapping of promiscuous T-cell epitopes as well as the regions of high concentration of these targets--termed T-cell epitope hotspots. MULTIPRED is available at http://antigen.i2r.a-star.edu.sg/multipred/.
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12) Kosmopoulou, A., Vlassi, M., Stavrakoudis, A., Sakarellos, C. and Sakarellos-Daitsiotis, M. (2006) T-cell epitopes of the La/SSB autoantigen: prediction based on the homology modeling of HLA-DQ2/DQ7 with the insulin-B peptide/HLA-DQ8 complex, J Comput Chem, 27, 1033-1044.
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28) Jacob, L, Vert, JP. Epitope prediction improved by multitask support vector machines. http://arxiv.org/abs/q-bio/0702008
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32) Evaluation of MHC class I peptide binding prediction servers: applications for vaccine research. BMC Immunol. 2008 Mar 16;9:8. PMID: 18366636
33) Quantitative peptide binding motifs for 19 human and mouse MHC class I molecules derived using positional scanning combinatorial peptide libraries. Immunome Res. 2008 Jan 25;4:2. PMID: 18221540
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36) HLA class I supertypes: a revised and updated classification. BMC Immunol. 2008 Jan 22;9:1.PMID: 18211710
37) A probabilistic meta-predictor for the MHC class II binding peptides. Immunogenetics. 2008 Jan;60(1):25-36. Epub 2007 Dec 19. PMID: 18092156
38) Mallik, B., Morikis, D. Applications of molecular dynamics simulations in immunology: A useful computational method in aiding vaccine design. Current Proteomics, 2006 3 (4), pp. 259-270
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Bioinformatics. 2009 May 15;25(10):1293-9. Epub 2009 Mar 17. PMID: 19297351
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Large scale mass spectrometric profiling of peptides eluted from HLA molecules reveals N-terminal-extended peptide motifs. J Immunol. 2008 Oct 1;181(7):4874-82.
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