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Multi-protein HIV-1 vaccine design: in silico prediction, structural assessment, and immunoinformatic validation

bracu.degree.levelUndergraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorSiam, Mohammad Kawsar Sharif
dc.contributor.authorIslam, Tahsina
dc.contributor.departmentSchool of Pharmacy
dc.date.accessioned2026-01-19T07:57:05Z
dc.date.available2026-01-19T07:57:05Z
dc.date.copyright2025
dc.date.issued2025-09
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 50-55).
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Pharmacy, 2025.en_US
dc.description.abstractHIV-1 remains a global health concern since there is no effective vaccine to date. In silico multi-protein vaccine design offers a promising strategy to induce widespread and durable immunity. Using linker and adjuvant sequences, including the PADRE universal helper T-cell epitope, conserved epitopes from several HIV-1 proteins were combined into a single construct. The design incorporated HTL (CD4⁺ helper T lymphocyte) epitopes to enhance cytokine secretion and B-cell help, CTL (CD8⁺ cytotoxic T lymphocyte) epitopes to promote targeted killing of infected cells, and B-cell epitopes to induce neutralizing antibody responses. Physicochemical properties, antigenicity, toxicity, and allergenicity were evaluated through immunoinformatics pipelines. The coverage was analysed using IEDB Population Coverage Calculation. The 3D structure was modeled and validated using MolProbity, Ramachandran analysis. Molecular docking with TLR-3 was performed to assess receptor interaction, and immune simulations were conducted to predict immune responses. The construct showed stability, antigenicity, and non-allergenicity, with >90% residues in favored Ramachandran regions. Docking confirmed stability of TLR-3 binding, while immune simulation predicted strong IgM and IgG responses and robust T-cell activation.en_US
dc.description.degreeBachelor of Pharmacy
dc.description.statementofresponsibilityTahsina Islam
dc.format.extent55 pages
dc.identifier.otherID 21346040
dc.identifier.urihttp://hdl.handle.net/10361/27459
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.subjectHIV-1en_US
dc.subjectIn silico vaccineen_US
dc.subjectMulti-proteinen_US
dc.subjectMolecular dockingen_US
dc.subjectImmune simulationen_US
dc.subjectImmunoinformaticsen_US
dc.subject.lcshMolecular pharmacology.
dc.subject.lcshImmunoinformatics.
dc.subject.lcshDrug development--Data processing.
dc.subject.lcshImmunology.
dc.subject.lcshHIV infections.
dc.subject.lcshProteins--Analysis.
dc.subject.lcshVaccines.
dc.titleMulti-protein HIV-1 vaccine design: in silico prediction, structural assessment, and immunoinformatic validationen_US
dc.typeThesisen_US

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