Candidate Targets for Immune Responses to 2019-Novel Coronavirus (nCoV): Sequence Homology- and Bioinformatic-Based Predictions.

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ID: 109331
2020
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Abstract
Effective countermeasures against the recent emergence and rapid expansion of the 2019-Novel Coronavirus (2019-nCoV) require the development of data and tools to understand and monitor viral spread and immune responses. However, little information about the targets of immune responses to 2019-nCoV is available. We used the Immune Epitope Database and Analysis Resource (IEDB) resource to catalog available data related to other coronaviruses, including SARS-CoV, which has high sequence similarity to 2019-nCoV, and is the best-characterized coronavirus in terms of epitope responses. We identified multiple specific regions in 2019-nCoV that have high homology to SARS virus. Parallel bionformatic predictions identified potential B and T cell epitopes for 2019-nCoV. The independent identification of the same regions using two approaches reflects the high probability that these regions are targets for immune recognition of 2019-nCoV.
Reference Key
grifoni2020candidatessrn Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Grifoni, Alba;Sidney, John;Zhang, Yun;Scheuermann, Richard H;Peters, Bjoern;Sette, Alessandro;
Journal ssrn
Year 2020
DOI
10.2139/ssrn.3541361
URL
Keywords
coronavirus infectious disease sars-cov covid-19 2019-ncov b cell epitope t cell epitope sequence conservation

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