Dataset Information

Bioinformatics prediction of B and T cell epitopes within the spike and nucleocapsid proteins of SARS-CoV2.

ABSTRACT:

Background

The striking difference in severity of SARS CoV2 infection among global population is partly attributed to viral factors. With the spike (S) and nucleocapsid (N) are the most immunogenic subunits, genetic diversity and antigenicity of S and N are key players in virulence and in vaccine development.

Aim

This paper aims at identifying immunogenic targets for better vaccine development and/or immunotherapy of COVID 19 pandemic.

Methods

18 complete genomes of SARS CoV2 (n=14), SARS CoV (n=2) and MERS CoV (n=2) were examined. Bioinformatics of viral genetics and protein folding allowed functional tuning of NH2 Terminal Domain (NTD) of S protein and development of epitope maps for B and T cell responses.

Conclusion

A deletion of amino acid residues Y144 and G107 were discovered in NTD of S protein derived from Indian and French isolates resulting in altered pocket structure exclusively located in NTD and reduced affinity of NTD binding to endogenous nAbs and disrupted NTD mediated cell entry. We therefore, proposed a set of B and T cell epitopes based on Immune Epitope Database, homologous epitopes for nAbs in convalescent plasma post SARS CoV infection and functional domains of S (NTD, Receptor Binding domain and the unique polybasic Furin cleavage site at S1/S2 junction). Nevertheless, laboratory data are required to develop vaccine and immunotherapeutics.

SUBMITTER: Dawood RM

PROVIDER: S-EPMC7737509 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Publications

Bioinformatics prediction of B and T cell epitopes within the spike and nucleocapsid proteins of SARS-CoV2.

Dawood Reham M RM El-Meguid Mai A MA Salum Ghada M GM El-Wakeel Khaled K Shemis Mohamed M El Awady Mostafa K MK

Journal of infection and public health 20201215 2

<h4>Background</h4>The striking difference in severity of SARS CoV2 infection among global population is partly attributed to viral factors. With the spike (S) and nucleocapsid (N) are the most immunogenic subunits, genetic diversity and antigenicity of S and N are key players in virulence and in vaccine development.<h4>Aim</h4>This paper aims at identifying immunogenic targets for better vaccine development and/or immunotherapy of COVID 19 pandemic.<h4>Methods</h4>18 complete genomes of SARS Co ...[more]

PMID: 33486372

Similar Datasets

Project description:Developing optimal T-cell response assays to severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) is critical for measuring the duration of immunity to this disease and assessing the efficacy of vaccine candidates. These assays need to target conserved regions of SARS-CoV-2 global variants and avoid cross-reactivity to seasonal human coronaviruses. To contribute to this effort, we employed an in silico immunoinformatics analysis pipeline to identify immunogenic peptides resulting from conserved and highly networked regions with topological importance from the SARS-CoV-2 nucleocapsid and spike proteins. A total of 57 highly networked T-cell epitopes that are conserved across geographic viral variants were identified from these viral proteins, with a binding potential to diverse HLA alleles and 80 to 100% global population coverage. Importantly, 18 of these T-cell epitope derived peptides had limited homology to seasonal human coronaviruses making them promising candidates for SARS-CoV-2-specific T-cell immunity assays. Moreover, two of the NC-derived peptides elicited effector/polyfunctional responses of CD8+ T cells derived from SARS-CoV-2 convalescent patients.IMPORTANCE The development of specific and validated immunologic tools is critical for understanding the level and duration of the cellular response induced by SARS-CoV-2 infection and/or vaccines against this novel coronavirus disease. To contribute to this effort, we employed an immunoinformatics analysis pipeline to define 57 SARS-CoV-2 immunogenic peptides within topologically important regions of the nucleocapsid (NC) and spike (S) proteins that will be effective for detecting cellular immune responses in 80 to 100% of the global population. Our immunoinformatics analysis revealed that 18 of these peptides had limited homology to circulating seasonal human coronaviruses and therefore are promising candidates for distinguishing SARS-CoV-2-specific immune responses from pre-existing coronavirus immunity. Importantly, CD8+ T cells derived from SARS-CoV-2 survivors exhibited polyfunctional effector responses to two novel NC-derived peptides identified as HLA-binders. These studies provide a proof of concept that our immunoinformatics analysis pipeline identifies novel immunogens which can elicit polyfunctional SARS-CoV-2-specific T-cell responses.

Dataset Information

Bioinformatics prediction of B and T cell epitopes within the spike and nucleocapsid proteins of SARS-CoV2.

Background

Aim

Methods

Conclusion

Publications

Bioinformatics prediction of B and T cell epitopes within the spike and nucleocapsid proteins of SARS-CoV2.

Similar Datasets

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