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Quantitative Predictions of Peptide Binding to Any HLA-DR Molecule of Known Sequence: NetMHCIIpan.

, , , , , , , and . PLoS Comput. Biol., (2008)

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Modeling the interactions of a peptide-major histocompatibility class I ligand with its receptors. I. Recognition by two alpha-beta T cell receptors., , , , , , and . J. Comput. Aided Mol. Des., 14 (1): 53-69 (2000)Temporal integration of loudness, loudness discrimination, and the form of the loudness function., , and . Journal of the Acoustical Society of America, 101 (2): 669--680 (February 1997)MHC Class I Epitope Binding Prediction Trained on Small Data Sets., , , , , , , and . ICARIS, volume 3239 of Lecture Notes in Computer Science, page 217-225. Springer, (2004)Quantitative Predictions of Peptide Binding to Any HLA-DR Molecule of Known Sequence: NetMHCIIpan., , , , , , , and . PLoS Comput. Biol., (2008)Large-scale validation of methods for cytotoxic T-lymphocyte epitope prediction., , , , , and . BMC Bioinform., (2007)Improved prediction of MHC class I and class II epitopes using a novel Gibbs sampling approach., , , , , , , and . Bioinform., 20 (9): 1388-1397 (2004)Modeling the interactions of a peptide-major histocompatibility class I ligand with its receptors. II. Cross-reaction between a monoclonal antibody and two alpha-beta T cell receptors., , , , and . J. Comput. Aided Mol. Des., 14 (1): 71-82 (2000)NetMHC-3.0: accurate web accessible predictions of human, mouse and monkey MHC class I affinities for peptides of length 8-11., , , , , and . Nucleic Acids Res., 36 (Web-Server-Issue): 509-512 (2008)The Immune Epitope Database and Analysis Resource., , , , , , , , , and 5 other author(s). PRIB, volume 4146 of Lecture Notes in Computer Science, page 126-132. Springer, (2006)Selecting Informative Data for Developing Peptide-MHC Binding Predictors Using a Query by Committee Approach., , , , , , , , and . Neural Comput., 15 (12): 2931-2942 (2003)