Design of a Multi-epitope Vaccine against SARS-CoV-2 using Immunoinformatics approach

Sanami, Samira and Zandi, Milad and Pourhossein, Behzad and Mobini, Gholam-Reza and Safaei, Mohsen and Abed, Atena and Arvejeh, Pooria Mohammadi and Chermahini, Fatemeh Amini and Alizadeh, Morteza (2020) Design of a Multi-epitope Vaccine against SARS-CoV-2 using Immunoinformatics approach. International Journal of Biological Macromolecules. ISSN 01418130

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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused COVID-19 disease in China. So far, no vaccine has licensed to protect against infection with COVID-19, therefore an effective COVID-19 vaccine needed. The aim of this study was to predict antigenic peptides of SARS-CoV-2 for designing the COVID-19 vaccine using immunoinformatic analysis. In this study, T and B-cell epitopes of S protein were predicted and screened based on the antigenicity, toxicity, allergenicity, and cross-reactivity with human proteomes. The epitopes were joined by the appropriate linker. LT-IIc as an adjuvant was attached to the end of the structure. The secondary and 3D structure of the vaccine was predicted. The refinement process was performed to improve the quality of the 3D model structure; the validation process is performed using the Ramachandran plot and ProSA z-score. The proposed vaccine's binding affinity to the HLA-A11: 01 and HLA-DRB1_01: 01 molecule was evaluated by molecular docking. Using molecular dynamics, the stability of vaccine-HLA complexes was also evaluated. Finally, in silico gene cloning was performed in the pET30a (+) vector. The findings suggest that the current vaccine may be a promising vaccine to prevent SARS-CoV-2 infection.

Item Type: Article
Subjects: WC Communicable Diseases
WC Communicable Diseases > Virus diseases
Divisions: Faculty of Advanced Technologies > Department of Medical Biotechnology
Depositing User: zeynab . bagheri
Date Deposited: 20 Jul 2020 06:08
Last Modified: 20 Jul 2020 06:08

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