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In ORF2, 11 strong binding peptides were predicted for the above-mentioned alleles.
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HLA class I binding affinities of peptides were predicted using NetMHC 3.4 [ 34].
All peptides were predicted to be very promiscuous, binding to multiple (up to 9 in several cases) alleles.
To identify CD8+ T-cell epitopes from prostein, six HLA-A*0201-binding HLA-A*0201-binding HLA-A*0201-bindingo-acid sequence of peptides by a computer-based algorithm.
# The peptides were predicted via GENSCAN [ 18].
The MHC binding affinity of peptides was predicted using web-based immunology tools: SYFPEITHI Epitope Prediction and PREDEP prediction softwares.
No signal peptide was predicted.
Because the precise location of the 9-mer core region of MHC-II binding peptides is unknown, predicting MHC-II binding peptides tends to be more challenging than predicting MHC-I binding peptides.
A number of MHC binding peptides were identified for the alleles used in analysis and Table 1 shows the best predicted binding peptide for each allele used in analysis and their log score.
Naturally presented peptides can be acid-eluted from MHC and identified by mass spectrometry [ 61- 63], or MHC binding peptides can be predicted computationally based on the presence, within a peptide, of favorable MHC-interacting residues [ 64- 66].
The output of the predicted MHC binding analysis and the predicted cathepsin analysis were overlaid to determine the distribution of predicted high affinity MHC-II binding peptides which are predicted to survive cleavage by cathepsin B, L, or S.
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