Author: Katie M. Campbell; Gabriela Steiner; Daniel K. Wells; Antoni Ribas; Anusha Kalbasi
Title: Prediction of SARS-CoV-2 epitopes across 9360 HLA class I alleles Document date: 2020_4_1
ID: bj454swk_19
Snippet: A. Overview of the analysis strategy. Using 9-mer peptides across the viral proteome, binding predictions were generated with nine different prediction algorithms (See Methods). B. Peptide-MHC complexes (pMHCs) were filtered to those with binding affinities less than 500nM. This histogram shows the distribution of the number of pMHCs (x-axis) corresponding to each peptide. C. Number of peptides (bars; top x-axis) derived from each protein (y-axis.....
Document: A. Overview of the analysis strategy. Using 9-mer peptides across the viral proteome, binding predictions were generated with nine different prediction algorithms (See Methods). B. Peptide-MHC complexes (pMHCs) were filtered to those with binding affinities less than 500nM. This histogram shows the distribution of the number of pMHCs (x-axis) corresponding to each peptide. C. Number of peptides (bars; top x-axis) derived from each protein (y-axis). The number of peptides was normalized to the length of the protein, and is indicated by a single point (points; bottom x-axis). D. Bar charts showing the number of alleles (y-axis) that have a high-binding peptide at the corresponding protein position (x-axis) for six viral proteins. Due to differences in amino acid sequences across annotated proteins, there are 43 peptides not shown. See Supplementary Figure 1 for remaining proteins.
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