ArticleScientific reports2022
In silico design and analyses of a multi-epitope vaccine against Crimean-Congo hemorrhagic fever virus through reverse vaccinology and immunoinformatics approaches.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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24 citing papers in PubMed, 48 citations in OpenAlex.
- Designing of a conserved subunit multiepitope vaccine candidate against Francisella tularensis Schu S4 using immunoinformatics.Scientific reports · 2026Article
- In Silico Analysis of Potential Vaccine Antigens for the Treatment of Crimean-Congo Hemorrhagic Fever Virus (Cchfv).Pharmaceutical research · 2026Article
- System immunoinformatics-based design of a multi-epitope vaccine candidate against La Crosse virus.PloS one · 2026Article
- Comparative immunoinformatic analysis of Rhipicephalus microplus cocktail vaccine targets.Parasites & vectors · 2025Article
- A Mutation-Based Reverse Vaccinology Approach Considering Variability in Epitopes to Combat Multi-Strains: A Study Using Glycoprotein of LASV.Journal of cellular and molecular medicine · 2025Article
- Design and Preliminary Immunogenicity Evaluation of Nipah Virus Glycoprotein G Epitope-Based Peptide Vaccine in Mice.Vaccines · 2025Article
- Immunoinformatics method to design universal multi-epitope nanoparticle vaccine for TGEV S protein.Scientific reports · 2025Article
- Computational design of multi-epitope vaccine against Hepatitis C Virus infection using immunoinformatics techniques.PloS one · 2025Article
- Epitopes screening and vaccine molecular design of PEDV S protein based on immunoinformatics.Scientific reports · 2024Article
- Article
- Integrating pan-genome and reverse vaccinology to design multi-epitope vaccine against Herpes simplex virus type-1.3 Biotech · 2024Article
- Development of membrane protein-based vaccine against lumpy skin disease virus (LSDV) using immunoinformatic tools.Veterinary medicine and science · 2024Article
- Immunoinformatics, molecular docking and dynamics simulation approaches unveil a multi epitope-based potent peptide vaccine candidate against avian leukosis virus.Scientific reports · 2024Article
- Novel dual-pathogen multi-epitope mRNA vaccine development for Brucella melitensis and Mycobacterium tuberculosis in silico approach.PloS one · 2024Article
- Crimean-Congo haemorrhagic fever (CCHF): present and future therapeutic armamentarium.Le infezioni in medicina · 2024Review
- Article
- In silico formulation of a next-generation multiepitope vaccine for use as a prophylactic candidate against Crimean-Congo hemorrhagic fever.BMC medicine · 2023Article
- Identification of B-Cell Epitopes on Capsid Protein Reveals Two Potential Neutralization Mechanisms in Red-Spotted Grouper Nervous Necrosis Virus.Journal of virology · 2023Article
- CCHFV vaccine development, current challenges, limitations, and future directions.Frontiers in immunology · 2023Review
- Design of a multi-epitope protein as a subunit vaccine against lumpy skin disease using an immunoinformatics approach.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Crimean Congo Hemorrhagic Fever virus (CCHFV) is a deadly human pathogen that causes an emerging zoonotic disease with a broad geographic spread, especially in Africa, Asia, and Europe, and the second most common viral hemorrhagic fever and widely transmitted tick-borne viral disease. Following infection, the patients are presented with a variety of clinical manifestations and a fatality rate of 40%. Despite the high fatality rate, there are unmet clinical interventions, as no antiviral drugs or vaccines for CCHF have been approved. Immunoinformatics pipeline and reverse vaccinology were used in this study to design a multi-epitope vaccine that may elicit a protective humoral and cellular immune response against Crimean-Congo hemorrhagic fever virus infection. Three essential virulent and antigenic proteins (S, M, and L) were used to predict seven CTL and 18 HTL epitopes that were non-allergenic, antigenic, IFN-γ inducing, and non-toxic. The epitopes were connected using linkers and 50S ribosomal protein L7/L12 was used as an adjuvant and raised a multi-epitope vaccine (MEV) that is 567 amino acids long. Molecular docking and simulation of the predicted 3D structure of the MEV with the toll-like (TLR2, TLR3, and TLR4) receptors and major histocompatibility complex (MCH-I and MCH-II) indicate high interactions and stability of the complexes, MM-GBSA free binding energy calculation revealed a favourable protein-protein complex. Maximum MEV expression was achieved with a CAI value of 0.98 through in silico cloning in the Drosophila melanogaster host. According to the immune simulation, IgG1, T-helper cells, T-cytotoxic cells, INF-γ, and IL-2 were predicted to be significantly elevated. These robust computational analyses demonstrated that the proposed MEV is effective in preventing CCHFV infections. However, it is still necessary to conduct both in vitro and in vivo experiments to validate the potential of the vaccine.
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