The journey towards complete and accurate prediction of HLA antigen presentation
Author:
Funder
National Cancer Institute
National Institute of Allergy and Infectious Diseases
Publisher
Elsevier BV
Reference28 articles.
1. Immunoinformatics: predicting peptide–MHC binding;Nielsen;Annu Rev Biomed Data Sci,2020
2. Reliable prediction of T-cell epitopes using neural networks with novel sequence representations;Nielsen;Protein Sci,2003
3. Sensitive quantitative predictions of peptide-MHC binding by a “Query by Committee” artificial neural network approach;Buus;Tissue Antig,2003
4. Prediction of MHC class I binding peptides, using SVMHC;Dönnes;BMC Bioinform,2002
5. NetMHCpan, a method for quantitative predictions of peptide binding to any HLA-A and -B locus protein of known sequence;Nielsen;PLoS ONE,2007
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