Author: Asaf Poran; Dewi Harjanto; Matthew Malloy; Michael S. Rooney; Lakshmi Srinivasan; Richard B. Gaynor
Title: Sequence-based prediction of vaccine targets for inducing T cell responses to SARS-CoV-2 utilizing the bioinformatics predictor RECON Document date: 2020_4_8
ID: 54mx8v4i_9
Snippet: Additionally, we generated two lists of 25mers contained in SARS-CoV-2 protein sequences 14 ranked by population coverage. To do this, we associated each 25mer with all subsequences that 15 were likely binders and calculated the population coverage of the corresponding HLA-II alleles. 16 Given a collection of alleles, we calculated the coverage as described in the previous section, the 17 only difference being the cumulative product is taken acro.....
Document: Additionally, we generated two lists of 25mers contained in SARS-CoV-2 protein sequences 14 ranked by population coverage. To do this, we associated each 25mer with all subsequences that 15 were likely binders and calculated the population coverage of the corresponding HLA-II alleles. 16 Given a collection of alleles, we calculated the coverage as described in the previous section, the 17 only difference being the cumulative product is taken across the following four HLA-II loci: As with HLA-I, two sorted lists of predicted binding sequences were generatedone sorted on 21 absolute coverage (Supplementary Table 6 ), and one sorted on disjoint coverage (Supplementary 22 author/funder. All rights reserved. No reuse allowed without permission.
Search related documents:
Co phrase search for related documents- absolute coverage and population coverage: 1
- bind sequence and predict bind sequence: 1
- coverage calculate and population coverage: 1
- cumulative product and population coverage: 1
- HLA II allele and population coverage: 1, 2
- HLA II loci and population coverage: 1
Co phrase search for related documents, hyperlinks ordered by date