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

03 April 2020, Version 2
This content is a preprint and has not undergone peer review at the time of posting.


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.


immunoinformatics approach
Novel Coronavirus


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