Exploiting reverse vaccinology approach for the design of a multiepitope subunit vaccine against the major SARS-CoV-2 variants

被引:20
作者
Campos, Daniel Melo de Oliveira [1 ]
da Silva, Maria Karolaynne [1 ]
Barbosa, Emmanuel Duarte [1 ]
Leow, Chiuan Yee [2 ]
Fulco, Umberto Laino [1 ]
Oliveira, Jonas Ivan Nobre [1 ]
机构
[1] Univ Fed Rio Grande do Norte, Biosci Ctr, Dept Biophys & Pharmacol, BR-59064741 Natal, RN, Brazil
[2] Univ Sains Malaysia, George Town, Malaysia
关键词
Immunoinformatics; Quantum mechanics; molecular mechanics; calculations; Multi-epitope vaccine; SARS-CoV-2; Variants; T-CELL EPITOPES; B-CELL; IFN-GAMMA; PROTEIN; PREDICTION; REFINEMENT; PEPTIDES; RECEPTOR; DOCKING; LENGTH;
D O I
10.1016/j.compbiolchem.2022.107754
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The current COVID-19 pandemic, an infectious disease caused by the novel coronavirus (SARS-CoV-2), poses a threat to global health because of its high rate of spread and death. Currently, vaccination is the most effective method to prevent the spread of this disease. In the present study, we developed a novel multiepitope vaccine against SARS-CoV-2 containing Alpha (B.1.1.7), Beta (B.1.351), Gamma (P.1), Delta (B.1.617.2), and Omicron (BA.1) variants. To this end, we performed a robust immunoinformatics approach based on multiple epitopes of the four structural proteins of SARS-CoV-2 (S, M, N, and E) from 475 SARS-CoV-2 genomes sequenced from the regions with the highest number of registered cases, namely the United States, India, Brazil, France, Germany, and the United Kingdom. To investigate the best immunogenic epitopes for linear B cells, cytotoxic T lympho-cytes (CTL), and helper T lymphocytes (HTL), we evaluated antigenicity, allergenicity, conservation, immuno-genicity, toxicity, human population coverage, IFN-inducing, post-translational modifications, and physicochemical properties. The tertiary structure of a vaccine prototype was predicted, refined, and validated. Through docking experiments, we evaluated its molecular coupling to the key immune receptor Toll-Like Re-ceptor 3 (TLR3). To improve the quality of docking calculations, quantum mechanics/molecular mechanics calculations (QM/MM) were used, with the QM part of the simulations performed using the density functional theory formalism (DFT). Cloning and codon optimization were performed for the successful expression of the vaccine in E. coli. Finally, we investigated the immunogenic properties and immune response of our SARS-CoV-2 multiepitope vaccine. The results of the simulations show that administering our prototype three times signifi-cantly increases the antibody response and decreases the amount of antigens. The proposed vaccine candidate should therefore be tested in clinical trials for its efficacy in neutralizing SARS-CoV-2.
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页数:23
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