Title: COVID-19 vaccine candidates: Prediction and validation of 174 novel SARS-CoV-2 epitopes

Type Dataset Marek Prachar, Sune Justesen, Daniel Bisgaard Steen-Jensen, Stephan Thorgrimsen, Erik Jurgons, Ole Winther, Frederik Otzen Bagger (2020): COVID-19 vaccine candidates: Prediction and validation of 174 novel SARS-CoV-2 epitopes. Zenodo. Dataset. https://zenodo.org/record/3732143

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, Copenhagen University Hospital, Copenhagen, Denmark) ;

Links

• Item record in Zenodo
• Digital object URL

Summary

Datasets used in "COVID-19 vaccine candidates: Prediction and validation of 174 novel SARS-CoV-2 epitopes"

SARS-CoV-2 peptides predicted to be binders to 11 HLA allotypes. Selected peptides have been measured in a stability assay revealing potential SARS-CoV-2 vaccine targets. 

File containing all predictions from tested tools. (Please note that not all tools use same measure.)

More information

• DOI: 10.5281/zenodo.3732143

Subjects

• COVID-19, epitope, SARS-CoV-2

Dates

• Publication date: 2020
• Issued: March 28, 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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