Identification and validation of 174 COVID-19 vaccine candidate epitopes reveals low performance of common epitope prediction tools.
In: Scientific reports, Jg. 10 (2020-11-24), Heft 1, S. 20465
Online
academicJournal
Zugriff:
The outbreak of SARS-CoV-2 (2019-nCoV) virus has highlighted the need for fast and efficacious vaccine development. Stimulation of a proper immune response that leads to protection is highly dependent on presentation of epitopes to circulating T-cells via the HLA complex. SARS-CoV-2 is a large RNA virus and testing of all of its overlapping peptides in vitro to deconvolute an immune response is not feasible. Therefore HLA-binding prediction tools are often used to narrow down the number of peptides to test. We tested NetMHC suite tools' predictions by using an in vitro peptide-MHC stability assay. We assessed 777 peptides that were predicted to be good binders across 11 MHC alleles in a complex-stability assay and tested a selection of 19 epitope-HLA-binding prediction tools against the assay. In this investigation of potential SARS-CoV-2 epitopes we found that current prediction tools vary in performance when assessing binding stability, and they are highly dependent on the MHC allele in question. Designing a COVID-19 vaccine where only a few epitope targets are included is therefore a very challenging task. Here, we present 174 SARS-CoV-2 epitopes with high prediction binding scores, validated to bind stably to 11 HLA alleles. Our findings may contribute to the design of an efficacious vaccine against COVID-19.
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Identification and validation of 174 COVID-19 vaccine candidate epitopes reveals low performance of common epitope prediction tools.
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Autor/in / Beteiligte Person: | Prachar, M ; Justesen, S ; Steen-Jensen, DB ; Thorgrimsen, S ; Jurgons, E ; Winther, O ; Bagger, FO |
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Zeitschrift: | Scientific reports, Jg. 10 (2020-11-24), Heft 1, S. 20465 |
Veröffentlichung: | London : Nature Publishing Group, copyright 2011-, 2020 |
Medientyp: | academicJournal |
ISSN: | 2045-2322 (electronic) |
DOI: | 10.1038/s41598-020-77466-4 |
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