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

Type Dataset Marek Prachar, Sune Justesen, Daniel Bisgaard Steen-Jensen, Stephan Thorgrimsen, Erik Jurgons, Ole Winther, Frederik Otzen Bagger (2020): Identification and validation of 174 COVID‑19 vaccine candidate epitopes reveals low performance of common epitope prediction tools. Zenodo. Dataset. https://zenodo.org/record/4277689

Authors: Marek Prachar (Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark) ; Sune Justesen (Immunitrack ApS, Copenhagen, Denmark) ; Daniel Bisgaard Steen-Jensen (Immunitrack ApS, Copenhagen, Denmark) ; Stephan Thorgrimsen (Immunitrack ApS, Copenhagen, Denmark) ; Erik Jurgons (INTAVIS Peptide Services GmbH & Co.KG, Waldhäuser Str. 64 Germany-72076 Tübingen) ; Ole Winther (Department of Applied Mathematics and Computer Science, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark) ; Frederik Otzen Bagger (Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark) ;

Links

• Item record in Zenodo
• Digital object URL

Summary

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.

More information

• DOI: 10.5281/zenodo.4277689

Subjects

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

Dates

• Publication date: 2020
• Issued: November 17, 2020

Rights

• https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
• info:eu-repo/semantics/openAccess Open Access

Format

electronic resource

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