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Designing of a Multi-epitope Vaccine against the Structural Proteins of Marburg Virus Exploiting the Immunoinformatics Approach

Saad Ahmed SamiDepartment of Pharmacy, Faculty of Biological Sciences, University of Chittagong, Chittagong 4331, BangladeshKay Kay Shain MarmaDepartment of Pharmacy, Faculty of Biological Sciences, University of Chittagong, Chittagong 4331, BangladeshShafi MahmudMicrobiology Laboratory, Bioinformatics Division, Department of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi 6205, BangladeshMd. Asif Nadim KhanDepartment of Biochemistry and Molecular Biology, Faculty of Biological Sciences, University of Chittagong, Chittagong 4331, BangladeshSarah AlbogamiDepartment of Biotechnology, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi ArabiaAhmed M. El‐ShehawiDepartment of Biotechnology, College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi ArabiaAhmed RakibDepartment of Pharmacy, Faculty of Biological Sciences, University of Chittagong, Chittagong 4331, BangladeshAgnila ChakrabortyDepartment of Pharmacy, Faculty of Biological Sciences, University of Chittagong, Chittagong 4331, BangladeshMostafah MohiuddinDepartment of Pharmacy, Faculty of Biological Sciences, University of Chittagong, Chittagong 4331, BangladeshKuldeep DhamaDivision of Pathology, ICAR-Indian Veterinary Research Institute, Izatnagar, Bareilly, Uttar Pradesh 243122, IndiaMir Muhammad Nasir UddinDepartment of Pharmacy, Faculty of Biological Sciences, University of Chittagong, Chittagong 4331, BangladeshMohammed Kamrul HossainDepartment of Pharmacy, Faculty of Biological Sciences, University of Chittagong, Chittagong 4331, BangladeshTrina Ekawati TalleiDepartment of Biology, Faculty of Mathematics and Natural Sciences, Sam Ratulangi University, Manado, North Sulawesi 95115, IndonesiaTalha Bin EmranDepartment of Pharmacy, BGC Trust University Bangladesh, Chittagong 4381, Bangladesh
2021en
ABI

Аннотация

direct contact with infected individuals or animals. Despite being considered to be less threatening in terms of appearances and the number of infected patients, the high fatality rate of this pathogenic virus is a major concern. Until now, no vaccine has been developed to combat this deadly virus. Therefore, vaccination for this virus is necessary to reduce its mortality. Our current investigation focuses on the design and formulation of a multi-epitope vaccine based on the structural proteins of MARV employing immunoinformatics approaches. The screening of potential T-cell and B-cell epitopes from the seven structural proteins of MARV was carried out through specific selection parameters. Afterward, we compiled the shortlisted epitopes by attaching them to an appropriate adjuvant and linkers. Population coverage analysis, conservancy analysis, and MHC cluster analysis of the shortlisted epitopes were satisfactory. Importantly, physicochemical characteristics, human homology assessment, and structure validation of the vaccine construct delineated convenient outcomes. We implemented disulfide bond engineering to stabilize the tertiary or quaternary interactions. Furthermore, stability and physical movements of the vaccine protein were explored using normal-mode analysis. The immune simulation study of the vaccine complexes also exhibited significant results. Additionally, the protein-protein docking and molecular dynamics simulation of the final construct exhibited a higher affinity toward toll-like receptor-4 (TLR4). From simulation trajectories, multiple descriptors, namely, root mean square deviations (rmsd), radius of gyration (Rg), root mean square fluctuations (RMSF), solvent-accessible surface area (SASA), and hydrogen bonds, have been taken into account to demonstrate the inflexible and rigid nature of receptor molecules and the constructed vaccine. Inclusively, our findings suggested the vaccine constructs' ability to regulate promising immune responses against MARV pathogenesis.

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