Published November 17, 2020 | Version v6
Dataset Open

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

  • 1. Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark
  • 2. Immunitrack ApS, Copenhagen, Denmark
  • 3. INTAVIS Peptide Services GmbH & Co.KG, Waldhäuser Str. 64 Germany-72076 Tübingen
  • 4. Department of Applied Mathematics and Computer Science, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
  • 5. Center for Genomic Medicine, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark

Description

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.

Files

sars-cov-2_predicted.csv

Files (5.8 MB)

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md5:fce5e4a8908408577e1e45cde36d9148
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md5:b980edc4b27757f4e9260e548e693158
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