ArticleComputation (Basel, Switzerland)2022
Bioinformatics, Computational Informatics, and Modeling Approaches to the Design of mRNA COVID-19 Vaccine Candidates.
Article in Computation (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Integrative bioinformatics approach to the mRNA vaccine development for the human papillomavirus using the capsid protein.Biology direct · 2026Article
- Rational design and in silico characterization of a multiepitope mRNA vaccine candidate against human metapneumovirus (hMPV) using reverse vaccinology and immunoinformatics approaches.Scientific reports · 2025Article
- An immunoinformatics approach in designing high-coverage mRNA multi-epitope vaccine against multivariant SARS-CoV-2.Journal, genetic engineering & biotechnology · 2025Article
- Computational design of multi-epitope vaccine against Hepatitis C Virus infection using immunoinformatics techniques.PloS one · 2025Article
- Harnessing computational immunology to design targeted subunit vaccines for infectious bursal disease in poultry.Frontiers in bioinformatics · 2025Article
- Design of a novel multi-epitope vaccine candidate againstBiochemistry and biophysics reports · 2024Article
- Bioinformatics designing of an mRNA vaccine for Mokola virus (MOKV) using immunoinformatics as a secure strategy for successful vaccine development.BMC immunology · 2024Article
- Exploring computational approaches to design mRNA Vaccine against vaccinia and Mpox viruses.Immunity, inflammation and disease · 2024Article
- Bioinformatics and molecular biology tools for diagnosis, prevention, treatment and prognosis of COVID-19.Heliyon · 2024Review
- Exploring the nuclear proteins, viral capsid protein, and early antigen protein using immunoinformatic and molecular modeling approaches to design a vaccine candidate against Epstein Barr virus.Scientific reports · 2024Article
- Immunoinformatics design of a structural proteins driven multi-epitope candidate vaccine against different SARS-CoV-2 variants based on fynomer.Scientific reports · 2024Article
- Physicochemical properties-based hybrid machine learning technique for the prediction of SARS-CoV-2 T-cell epitopes as vaccine targets.PeerJ. Computer science · 2024Article
- mRNA vaccine design for Epstein-Barr virus: an immunoinformatic approach.In silico pharmacology · 2024Article
- Advances of Reverse Vaccinology for mRNA Vaccine Design against SARS-CoV-2: A Review of Methods and Tools.Viruses · 2023Review
- Construction, Expression, and Evaluation of the Naturally Acquired Humoral Immune Response againstInternational journal of molecular sciences · 2023Article
- In silico EsxG EsxH rational epitope selection: Candidate epitopes for vaccine design against pulmonary tuberculosis.PloS one · 2023Article
- Bioinformatics Designing and Molecular Modelling of a Universal mRNA Vaccine for SARS-CoV-2 Infection.Vaccines · 2022Article
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13 authors.
Funding
Abstract
This article is devoted to applying bioinformatics and immunoinformatics approaches for the development of a multi-epitope mRNA vaccine against the spike glycoproteins of circulating SARS-CoV-2 variants in selected African countries. The study's relevance is dictated by the fact that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) began its global threat at the end of 2019 and since then has had a devastating impact on the whole world. Measures to reduce threats from the pandemic include social restrictions, restrictions on international travel, and vaccine development. In most cases, vaccine development depends on the spike glycoprotein, which serves as a medium for its entry into host cells. Although several variants of SARS-CoV-2 have emerged from mutations crossing continental boundaries, about 6000 delta variants have been reported along the coast of more than 20 countries in Africa, with South Africa accounting for the highest percentage. This also applies to the omicron variant of the SARS-CoV-2 virus in South Africa. The authors suggest that bioinformatics and immunoinformatics approaches be used to develop a multi-epitope mRNA vaccine against the spike glycoproteins of circulating SARS-CoV-2 variants in selected African countries. Various immunoinformatics tools have been used to predict T- and B-lymphocyte epitopes. The epitopes were further subjected to multiple evaluations to select epitopes that could elicit a sustained immunological response. The candidate vaccine consisted of seven epitopes, a highly immunogenic adjuvant, an MHC I-targeting domain (MITD), a signal peptide, and linkers. The molecular weight (MW) was predicted to be 223.1 kDa, well above the acceptable threshold of 110 kDa on an excellent vaccine candidate. In addition, the results showed that the candidate vaccine was antigenic, non-allergenic, non-toxic, thermostable, and hydrophilic. The vaccine candidate has good population coverage, with the highest range in East Africa (80.44%) followed by South Africa (77.23%). West Africa and North Africa have 76.65% and 76.13%, respectively, while Central Africa (75.64%) has minimal coverage. Among seven epitopes, no mutations were observed in 100 randomly selected SARS-CoV-2 spike glycoproteins in the study area. Evaluation of the secondary structure of the vaccine constructs revealed a stabilized structure showing 36.44% alpha-helices, 20.45% drawn filaments, and 33.38% random helices. Molecular docking of the TLR4 vaccine showed that the simulated vaccine has a high binding affinity for TLR-4, reflecting its ability to stimulate the innate and adaptive immune response.
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