The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Epitope-based chimeric peptide vaccine design against S, M and E proteins of SARS-CoV-2 etiologic agent of global pandemic COVID-19: an in silico approach
Open accessAbstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the etiologic agent of the ongoing pandemic of coronavirus disease 2019 (COVID-19), a public health emergency of international concerns declared by the World Health Organization (WHO). An immuno-informatics approach along with comparative genomics was applied to design a multi-epitope-based peptide vaccine against SARS-CoV-2 combining the antigenic epitopes of the S, M, and E proteins. The tertiary structure was predicted, refined and validated using advanced bioinformatics tools. The candidate vaccine showed an average of ≥90.0% world population coverage for different ethnic groups. Molecular docking and dynamics simulation of the chimeric vaccine with the immune receptors (TLR3 and TLR4) predicted efficient binding. Immune simulation predicted significant primary immune response with increased IgM and secondary immune response with high levels of both IgG1 and IgG2. It also increased the proliferation of T-helper cells and cytotoxic T-cells along with the increased IFN-γ and IL-2 cytokines. The codon optimization and mRNA secondary structure prediction revealed that the chimera is suitable for high-level expression and cloning. Overall, the constructed recombinant chimeric vaccine candidate demonstrated significant potential and can be considered for clinical validation to fight against this global threat, COVID-19.
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Cites
A new coronavirus associated with human respiratory disease in China
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Cited by
Aboudounya, M. M., & Heads, R. J. (2021) · Mediators of Inflammation · doi:10.1155/2021/8874339 · Cited by 346
Genome-wide analysis of SARS-CoV-2 virus strains circulating worldwide implicates heterogeneity
Islam, M. R., Hoque, M. N., Rahman, M. S., Alam, A. S. M. R. U., Akther, M., Puspo, J. A., Akter, S., Sultana, M., Crandall, K. A., & Hossain, M. A. (2020) · Scientific Reports · doi:10.1038/s41598-020-70812-6 · Cited by 266
Self-citationA systematic review on AI/ML approaches against COVID-19 outbreak
Dogan, O., Tiwari, S., Jabbar, M. A., & Guggari, S. (2021) · Complex & Intelligent Systems · doi:10.1007/s40747-021-00424-8 · Cited by 87
Metadata
- Authors
- Rahman, M. S., Hoque, M. N., Islam, M. R., Akter, S., Rubayet-Ul-Alam, A., Siddique, M. A., Saha, O., Rahaman, M. M., Sultana, M., Crandall, K. A., & Hossain, M. A.
- Venue
- PeerJ
- Publisher
- PeerJ
- Published
- 2020-07-27
- Volume
- 8
- Pages
- e9572
- ISSN
- 2167-8359 (ISSN-L)
- OpenAlex
- W3044738593
- Cited by
- 166
- References
- 12
- FWCI
- 9.54
- Type
- journal article
- Language
- en
- Open access
- gold
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- Rahman, M. S., Hoque, M. N., Islam, M. R., Akter, S., Rubayet-Ul-Alam, A., Siddique, M. A., Saha, O., Rahaman, M. M., Sultana, M., Crandall, K. A., & Hossain, M. A. (2020). Epitope-based chimeric peptide vaccine design against S, M and E proteins of SARS-CoV-2 etiologic agent of global pandemic COVID-19: an in silico approach. PeerJ. https://doi.org/10.7717/peerj.9572
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