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    •   BracU IR
    • School of Data and Sciences (SDS)
    • Department of Mathematics and Natural Sciences (MNS)
    • Bachelor of Science in Biotechnology
    • Thesis (Bachelor of Science in Biotechnology)
    • View Item
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    In silico design of a multi-epitope vaccine against Lyssavirus Phylogroup II Glycoproteins

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    18136057, 17136037_MNS.pdf (3.819Mb)
    Date
    2022-12
    Publisher
    Brac University
    Author
    Fabiha, Fahmida
    Shadman, S. M. Salim
    Metadata
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    URI
    http://hdl.handle.net/10361/18784
    Abstract
    The genus of lyssavirus, coming from the family of Rhabdoviridae, has been around since the time of 2300 BC. A ~12kb, negative-sense RNA virus, it is known to be one of the lethal viruses ever encountered by mankind. With the advancement in the fields of genetics and bioinformatics, we have been able to classify the genus into 3 phylogroups, phylogroups I, II, & III. Available and newly engineered vaccines target the phylogroup I and III, but no significant vaccine is available for combating the phylogroup II viruses. In this study, we used immunoinformatics based approach to design a multi-epitope-based vaccine that can provide immunity against the phylogroup II lyssaviruses, Lagos Bat Virus, Mokola Bat Virus & Shimoni Bat Virus. We have identified conserved epitopes within the viral glycoprotein sequences, and constructed vaccines containing immunogenic motifs alongside these epitopes. We predicted and optimized the three-dimensional structures of our vaccines, and assessed their capacity to induce immunity. Our designed vaccines are highly antigenic, non-allergenic, and provide wide coverage. They have shown high binding affinity against MHC molecules and induced long-term immunity in immune simulation. We believe that in silico design of these vaccines is the first step in preparation against a future spread of phylogroup II lyssavirus species.
    Keywords
    Lyssavirus; Phylogroup II Glycoproteins
     
    LC Subject Headings
    Bats as carriers of disease.
     
    Description
    This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Biotechnology 2022.
     
    Catalogued from PDF version of thesis.
     
    Includes bibliographical references (pages 123-133).
    Department
    Department of Mathematics and Natural Sciences, Brac University
    Type
    Thesis
    Collections
    • Thesis (Bachelor of Science in Biotechnology)

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