ArticleAdvances and applications in bioinformatics and chemistry : AABC2022
Multi Epitope-Based Vaccine Design for Protection Against
Article in Advances and applications in bioinformatics and chemistry : AABC, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Computational development of multi-epitope vaccine to induce adaptive immunity against multi-drug resistant Prevotella intermedia.BMC infectious diseases · 2025Article
- A Highly Immunogenic and Cross-Reactive Multi-Epitope Vaccine Candidate Against Duck Hepatitis A Virus: Immunoinformatics Design and Preliminary Experimental Validation.International journal of molecular sciences · 2025Article
- Article
- Immunoinformatics design of a multi-epitope vaccine for Chlamydia trachomatis major outer membrane proteins.Scientific reports · 2024Article
- Novel prophylactic and therapeutic multi-epitope vaccine based on Ag85A, Ag85B, ESAT-6, and CFP-10 of Mycobacterium tuberculosis using an immunoinformatics approach.Osong public health and research perspectives · 2024Article
- Article
- Enhancing tuberculosis vaccine development: a deconvolution neural network approach for multi-epitope prediction.Scientific reports · 2024Article
- Review
- Recent Advances in Studying Toll-like Receptors with the Use of Computational Methods.Journal of chemical information and modeling · 2023Review
- A comprehensive approach to developing a multi-epitope vaccine againstFrontiers in immunology · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: A prophylactic and immunotherapeutic vaccine for Methods: The bioinformatic techniques were used to screen and construct potential epitopes from outer membrane protein A Rv0899 of MTB and spike glycoprotein of SARS-CoV-2 for B and T cells. The antigenicity, allergenicity, and several physiochemical properties of the developed multi-epitope vaccination were then evaluated. Additionally, molecular docking and normal mode analysis (NMA) were utilized in evaluating the vaccine's immunogenicity and complex stability. Results: Selected proteins and predicted epitopes suggest that the vaccine prediction can be helpful in the protection against both SARS-CoV-2 and MTB coinfection. Through docking molecular and NMA, the vaccine-TLR4 protein interaction was predicted to be efficient with a high level of IgG, T-helper cells, T-cytotoxic cells, andIFN-γ. Conclusion: This epitope-based vaccine is a potentially attractive tool for SARS-CoV-2 and MTB coinfection vaccine development.
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