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

Name: COVID-19 vaccine candidates: Prediction and validation of 174 novel SARS-CoV-2 epitopes
Creator: Bioinformatics Centre, Department of Biology, University of Copenhagen, Copenhagen, Denmark; Immunitrack ApS, Copenhagen, Denmark; Center for Genomic Medicine, Copenhagen University Hospital, Copenhagen, Denmark; INTAVIS Peptide Services GmbH & Co.KG, Waldhäuser Str. 64 Germany-72076 Tübingen; Department of Applied Mathematics and Computer Science, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
Published: 2020-04-03T00:00:00+08:00

Zenodo2020-04-03 更新2026-04-07 收录

疫苗表位预测

SARS-CoV-2免疫原性

数据链接：

https://zenodo.org/record/4085108 数据链接链接失效反馈

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资源简介：

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.)

提供机构：

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

创建时间：

2020-04-03