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dc.contributor.advisorSiam, Mohammad Kawsar Sharif
dc.contributor.authorIntesar, Mohammad Nafees
dc.date.accessioned2023-01-18T05:34:38Z
dc.date.available2023-01-18T05:34:38Z
dc.date.copyright2022
dc.date.issued2022-06
dc.identifier.otherID 13346017
dc.identifier.urihttp://hdl.handle.net/10361/17754
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Pharmacy, 2022.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 43-46).
dc.description.abstractThe new coronavirus (SARS-CoV-2) pandemic, which has killed millions of people throughout the world, has afflicted millions of people. SARS-CoV-2 therapies were severely limited due to the virus's quick pathogenicity. As a result, immunizations were desperately needed because there were no effective medical therapies. Immunoinformatic approaches were employed in this work to develop a multi-epitope vaccine that has the potential to activate the body’s immune system against SARS-CoV-2. The viral structural protein was screened for the first group of epitopes. VaxiJen v2.0, AllerTOP v2.0, and ToxinPred were used to identify probable antigenic, non-toxic, and non-allergenic T-cell and B-cell epitopes, and a projected model was developed. IFNepitope, IL4pred, and IL10pred were used to test cytokine inducing epitopes. One MHC I binding cytotoxic T lymphocyte (CTL) (9-mer) and one MHC II binding helper T lymphocyte (HTL) (9-mer) were tested for T-cell, as both have significant binding affinity and are antigenic, with scores of 0.7476 and 0.5993, respectively. Interferon-gamma, interleukin-4, and interleukin-10 were all induced by the HTL epitope. The chosen B-cell epitope was non-toxic and non-allergenic, with a length of 15 and an antigen score of 0.4992. Epitopes were connected together using appropriate linkers, and biochemical analysis in PROTPARAM revealed the vaccine's instability index (44.39) and GRAVY (-0.023). Through homology modeling, the Phyre2 server projected a PDB model of the final vaccination, which had 100 percent confidence and 47 percent coverage. The z-score (-4.75) was used to determine the overall quality of the model using ProSA online. Patchdock achieved a molecular docking score of 16070 in a 2366.10 square angstrom region by combining complementing form concepts. The C-IMMSIM server was used to examine the proposed vaccine's immunogenic profile. Immune responses, whether tertiary, secondary, or primary, all played a part in vaccination immunity.en_US
dc.description.statementofresponsibilityMohammad Nafees Intesar
dc.format.extent46 pages
dc.language.isoenen_US
dc.publisherBrac Universityen_US
dc.rightsBrac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectSARS-CoV-2en_US
dc.subjectEnvelope Protein (E)en_US
dc.subjectPeptide vaccinationen_US
dc.subject.lcshCOVID-19 (Disease)
dc.titleAn in silico Method to developing an epitope-based peptide vaccination against SARS-CoV-2's Envelope Protein (E)en_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Pharmacy, Brac University
dc.description.degreeB. Pharmacy


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