In-silico approach to design a novel multi-epitope vaccine against Zika Virus
This thesis submitted to the Department of Mathematics and Natural Sciences in partial fulfillment of the requirements for the degree of Bachelor of Science in Biotechnology, 2024.
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10361-241682024-09-24T21:04:24Z In-silico approach to design a novel multi-epitope vaccine against Zika Virus Mardiya, Radiya Tum Mahabub, Umaiya Binte Shishir, Tushar Ahmed Department of Mathematics and Natural Sciences, Brac University ZIKA Immunoinformatic Multi-epitope Genome Vaccines Zika virus. Vaccines. Immunology. This thesis submitted to the Department of Mathematics and Natural Sciences in partial fulfillment of the requirements for the degree of Bachelor of Science in Biotechnology, 2024. Cataloged from PDF version of thesis. Includes bibliographical references (pages 144-151). Zika virus is a global concern and a public health emergency proclaimed by WHO due to its dangerous repercussions after the infection. Since it poses a significant threat to emerging again, competent and adequate action must be taken to develop an efficient vaccine. The object of this study was to construct a multi-peptide vaccine against the deadly ZIKA virus by using a computational approach of immunoinformatic and bioinformatics. Three structure proteins (capsid, envelope, membrane) were selected due to their precious target in the host cell. The helper and cytotoxic T cells (CTL, HTL) and B cells were predicted as epitopes and fused with the propitious linkers and adjuvants molecules as promising vaccine constructs. These ZIKV vaccine constructs were checked thoroughly to inspect the highest immunogenicity and physiological properties. All the primary constructs were non-allergenic, non-toxic, and highly antigenic. The validation and selection criteria helped to choose the stronger candidates with considerable features to induce a high immunogenic response. The docking and structural simulation of the vaccine constructs with TLR4 receptor confirmed the binding stability and affinities to a great extent. MD simulations of the vaccine-TLR4 complex were performed to appraise the efficacy of the structural stability and integrity to find the only suitable candidate among all the primary and secondary selections. However, the in-vivo and in-vitro testing and clinical trial are required to justify the aim of the study. Radiya Tum Mardiya Umaiya Binte Mahabub B. Biotechnology 2024-09-24T04:26:21Z 2024-09-24T04:26:21Z ©2024 2024-04 Thesis ID 20136003 ID 20136009 http://hdl.handle.net/10361/24168 en Brac 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. 151 pages application/pdf Brac University |
institution |
Brac University |
collection |
Institutional Repository |
language |
English |
topic |
ZIKA Immunoinformatic Multi-epitope Genome Vaccines Zika virus. Vaccines. Immunology. |
spellingShingle |
ZIKA Immunoinformatic Multi-epitope Genome Vaccines Zika virus. Vaccines. Immunology. Mardiya, Radiya Tum Mahabub, Umaiya Binte In-silico approach to design a novel multi-epitope vaccine against Zika Virus |
description |
This thesis submitted to the Department of Mathematics and Natural Sciences in partial fulfillment of the requirements for the degree of Bachelor of Science in Biotechnology, 2024. |
author2 |
Shishir, Tushar Ahmed |
author_facet |
Shishir, Tushar Ahmed Mardiya, Radiya Tum Mahabub, Umaiya Binte |
format |
Thesis |
author |
Mardiya, Radiya Tum Mahabub, Umaiya Binte |
author_sort |
Mardiya, Radiya Tum |
title |
In-silico approach to design a novel multi-epitope vaccine against Zika Virus |
title_short |
In-silico approach to design a novel multi-epitope vaccine against Zika Virus |
title_full |
In-silico approach to design a novel multi-epitope vaccine against Zika Virus |
title_fullStr |
In-silico approach to design a novel multi-epitope vaccine against Zika Virus |
title_full_unstemmed |
In-silico approach to design a novel multi-epitope vaccine against Zika Virus |
title_sort |
in-silico approach to design a novel multi-epitope vaccine against zika virus |
publisher |
Brac University |
publishDate |
2024 |
url |
http://hdl.handle.net/10361/24168 |
work_keys_str_mv |
AT mardiyaradiyatum insilicoapproachtodesignanovelmultiepitopevaccineagainstzikavirus AT mahabubumaiyabinte insilicoapproachtodesignanovelmultiepitopevaccineagainstzikavirus |
_version_ |
1814309078746267648 |