Author: Lin Li; Ting Sun; Yufei He; Wendong Li; Yubo Fan; Jing Zhang
Title: Epitope-based peptide vaccine design and target site characterization against novel coronavirus disease caused by SARS-CoV-2 Document date: 2020_2_27
ID: e9vq3fe3_8
Snippet: predict MHC class I binding T-cell epitopes for S protein. Peptide_binding_to_MHC_class_II_molecules tool of IEDB and HLA class II set [21] was utilized to predict T-cell epitopes for S protein. Percentile rank with threshold of 1% for MHC class I binding epitopes and 10% for MHC class II binding epitopes were used to filter out peptide-allele with weak binding affinity. The antigenicity score of each epitope was calculated by VaxiJen v2.0. A hig.....
Document: predict MHC class I binding T-cell epitopes for S protein. Peptide_binding_to_MHC_class_II_molecules tool of IEDB and HLA class II set [21] was utilized to predict T-cell epitopes for S protein. Percentile rank with threshold of 1% for MHC class I binding epitopes and 10% for MHC class II binding epitopes were used to filter out peptide-allele with weak binding affinity. The antigenicity score of each epitope was calculated by VaxiJen v2.0. A high stringent standard was used to filter peptides with antigenicity score larger than or equal to 1, the number of binding alleles larger than or equal to 3 for MHC class I binding epitopes and 5 for MHC class II binding epitopes.
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