Your browser doesn't support javascript.
Epitope-based chimeric peptide vaccine design against S, M and E proteins of SARS-CoV-2, the etiologic agent of COVID-19 pandemic: an in silico approach.
Rahman, M Shaminur; Hoque, M Nazmul; Islam, M Rafiul; Akter, Salma; Rubayet Ul Alam, A S M; Siddique, Mohammad Anwar; Saha, Otun; Rahaman, Md Mizanur; Sultana, Munawar; Crandall, Keith A; Hossain, M Anwar.
  • Rahman MS; Department of Microbiology, University of Dhaka, Dhaka, Bangladesh.
  • Hoque MN; Department of Microbiology, University of Dhaka, Dhaka, Bangladesh.
  • Islam MR; Department of Gynecology, Obstetrics and Reproductive Health, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh.
  • Akter S; Department of Microbiology, University of Dhaka, Dhaka, Bangladesh.
  • Rubayet Ul Alam ASM; Department of Microbiology, University of Dhaka, Dhaka, Bangladesh.
  • Siddique MA; Department of Microbiology, Jahangirnagar University, Savar, Bangladesh.
  • Saha O; Department of Microbiology, Jashore University of Science and Technology, Jashore, Bangladesh.
  • Rahaman MM; Department of Microbiology, University of Dhaka, Dhaka, Bangladesh.
  • Sultana M; Department of Microbiology, University of Dhaka, Dhaka, Bangladesh.
  • Crandall KA; Department of Microbiology, University of Dhaka, Dhaka, Bangladesh.
  • Hossain MA; Department of Microbiology, University of Dhaka, Dhaka, Bangladesh.
PeerJ ; 8: e9572, 2020.
Article in English | MEDLINE | ID: covidwho-769818
ABSTRACT
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.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Etiology study / Experimental Studies / Prognostic study / Randomized controlled trials Topics: Vaccines Language: English Journal: PeerJ Year: 2020 Document Type: Article Affiliation country: Peerj.9572

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Etiology study / Experimental Studies / Prognostic study / Randomized controlled trials Topics: Vaccines Language: English Journal: PeerJ Year: 2020 Document Type: Article Affiliation country: Peerj.9572