T Cell Epitope-Based Vaccine Design for Pandemic Novel Coronavirus 2019-nCoV
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..
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Preprint| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
chemRxiv.org - (2021) vom: 18. Nov. Zur Gesamtaufnahme - year:2021 |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
Mishra, Dr. Seema [VerfasserIn] |
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| Links: |
Volltext [kostenfrei] |
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| doi: |
10.26434/chemrxiv.12029523 |
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| 520 | |a 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. | ||
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