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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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Identification and validation of 174 COVID‑19 vaccine candidate epitopes reveals low performance of common epitope prediction tools

Authors: Marek Prachar; Sune Justesen; Daniel Bisgaard Steen-Jensen; Stephan Thorgrimsen; Erik Jurgons; Ole Winther; Frederik Otzen Bagger;

Identification and validation of 174 COVID‑19 vaccine candidate epitopes reveals low performance of common epitope prediction tools

Abstract

Datasets used in "Identification and validation of 174 COVID‑19 vaccine candidate epitopes reveals low performance of common epitope prediction tools" sars-cov-2_predicted.csv SARS-CoV-2 peptides predicted to be binders to 11 HLA alleles by the NetMHC suite tools, these selected peptides have been measured in a stability assay revealing SARS-CoV-2 epitopes (assay results can be found at: https://www.immunitrack.com/free-coronavirus-report-for-download/). tools_predictions_binders.xlsx File containing all predictions for tools tested in the benchmark (note that not all tools use same measure). List of binders (epitopes) with IEDB links and T cell studies overlap.

Keywords

HLA, epitope, SARS-CoV-2, vaccine, COVID-19, MHC, vaccine candidates

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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