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• W2783102765 abstract "Major histocompatibility complex class II (MHC-II) molecules are expressed on the surface of professional antigen-presenting cells where they display peptides to T helper cells, which orchestrate the onset and outcome of many host immune responses. Understanding which peptides will be presented by the MHC-II molecule is therefore important for understanding the activation of T helper cells and can be used to identify T-cell epitopes. We here present updated versions of two MHC-II-peptide binding affinity prediction methods, NetMHCII and NetMHCIIpan. These were constructed using an extended data set of quantitative MHC-peptide binding affinity data obtained from the Immune Epitope Database covering HLA-DR, HLA-DQ, HLA-DP and H-2 mouse molecules. We show that training with this extended data set improved the performance for peptide binding predictions for both methods. Both methods are publicly available at www.cbs.dtu.dk/services/NetMHCII-2.3 and www.cbs.dtu.dk/services/NetMHCIIpan-3.2." @default.
• W2783102765 created "2018-01-26" @default.
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• W2783102765 date "2018-02-06" @default.
• W2783102765 modified "2023-10-15" @default.
• W2783102765 title "Improved methods for predicting peptide binding affinity to <scp>MHC</scp> class <scp>II</scp> molecules" @default.
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• W2783102765 doi "https://doi.org/10.1111/imm.12889" @default.
• W2783102765 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6002223" @default.
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• W2783102765 hasPublicationYear "2018" @default.
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