Improved methods for predicting peptide binding affinity to MHC class II molecules
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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.
Originalsprog | Engelsk |
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Tidsskrift | Immunology |
Vol/bind | 154 |
Udgave nummer | 3 |
Sider (fra-til) | 394-406 |
ISSN | 0019-2805 |
DOI | |
Status | Udgivet - 2018 |
Links
- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6002223/pdf/IMM-154-394.pdf
Forlagets udgivne version
ID: 189861945