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T Cell Epitope-Based Vaccine Design for Pandemic Novel Coronavirus 2019-nCoV

preprint
revised on 02.04.2020 and posted on 03.04.2020 by Seema Mishra
Immunoinformatics approach has been used to identify potential T cell epitopes from structural and non-structural proteins for immunotherapy against novel coronavirus 2019-nCoV across populations Two different prediction algorithms, NetCTLpan and Pickpocket were used to generate consensus epitopes against HLA supertypes. All of the 57 epitopes identified had no similarity/identity with the human proteome thus preventing crossreactivity. Many of these epitopes formed a tight cluster around consensus sequences

MGYINVFAFPFTIYSLLLC and KVSIWNLDYIINLI across proteins and alleles. These should be urgently tested in in-vitro MHC binding and T cell assays before being tried as vaccines to further prevent pandemic due to this lethal coronavirus.

History

Email Address of Submitting Author

seema_uoh@yahoo.com

Institution

University of Hyderabad

Country

India

ORCID For Submitting Author

https://orcid.org/0000-0002-4093-7899

Declaration of Conflict of Interest

This author declares no conflict of interest

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