In-Silico Design of an E2 Envelope Glycoprotein targeted Multi Epitope vaccine against Chikungunya Virus (CHIKV)
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Pharmacy, 2022.
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Brac University
2023
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| Acesso em linha: | http://hdl.handle.net/10361/18939 |
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10361-189392023-07-20T21:02:29Z In-Silico Design of an E2 Envelope Glycoprotein targeted Multi Epitope vaccine against Chikungunya Virus (CHIKV) Ahmed, Intizar Siam, Mohammad Kawsar Sharif Department of Pharmacy, Brac University Chikungunya virus Multi-epitope vaccine in-silico E2 envelope glycoprotein Biochemical analysis Virus chikungunya. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Pharmacy, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 38-42). The mosquito-borne chikungunya virus has caused numerous outbreaks globally over the years and its transmission is expeditious. Due to the lack of an effective vaccine, chikungunya infection prevention mainly focuses on preventing mosquito bites. Chikungunya infection causes debilitating symptoms. An effective vaccine can provide stronger protection in future outbreaks. In this study, in-silico approach was taken to construct a multi-epitope vaccine against the chikungunya virus and in-silico biochemical analysis of the designed vaccine was performed. The E2 envelope glycoprotein of chikungunya virus, collected from Vipr database, was selected as primary protein. Its antigenicity (0.5679) was found using Vaxijen v2.0. Cytotoxic T lymphocyte epitopes, helper T lymphocyte epitopes, and B cell epitopes were identified using NetCTL-1.2, NetMHCIIpan 4.0, and Bepipred servers respectively. The helper T lymphocyte epitopes were screened using IFNepitope, IL-4Pred, and IL-10Pred. Linkers were used according to literature studies in order to construct the vaccine. Biochemical analysis of the final vaccine represented promising results. ProtParam was used to predict the instability index (35.68), grand average of hydropathy (-0.553), and molecular weight (63.72038 kDa) of the final vaccine. AllergenOnline and T3DB predicted the vaccine as non-allergen and non-toxic respectively. ProSAweb was applied to assess Z-score (-5.16) and SWISS-MODEL generated Ramachandran plots. C IMMSIM predicted desirable responses of immune cells and antibodies in accordance with three doses of the vaccine. As this study was based on in-silico computational methods, future investigations incorporating in vitro and in vivo methods are needed to validate the safety and efficacy of the constructed chikungunya vaccine. Intizar Ahmed B. Pharmacy 2023-07-20T05:56:57Z 2023-07-20T05:56:57Z 2022 2022-12 Thesis ID: 18146023 http://hdl.handle.net/10361/18939 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. 42 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Chikungunya virus Multi-epitope vaccine in-silico E2 envelope glycoprotein Biochemical analysis Virus chikungunya. |
| spellingShingle |
Chikungunya virus Multi-epitope vaccine in-silico E2 envelope glycoprotein Biochemical analysis Virus chikungunya. Ahmed, Intizar In-Silico Design of an E2 Envelope Glycoprotein targeted Multi Epitope vaccine against Chikungunya Virus (CHIKV) |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Pharmacy, 2022. |
| author2 |
Siam, Mohammad Kawsar Sharif |
| author_facet |
Siam, Mohammad Kawsar Sharif Ahmed, Intizar |
| format |
Thesis |
| author |
Ahmed, Intizar |
| author_sort |
Ahmed, Intizar |
| title |
In-Silico Design of an E2 Envelope Glycoprotein targeted Multi Epitope vaccine against Chikungunya Virus (CHIKV) |
| title_short |
In-Silico Design of an E2 Envelope Glycoprotein targeted Multi Epitope vaccine against Chikungunya Virus (CHIKV) |
| title_full |
In-Silico Design of an E2 Envelope Glycoprotein targeted Multi Epitope vaccine against Chikungunya Virus (CHIKV) |
| title_fullStr |
In-Silico Design of an E2 Envelope Glycoprotein targeted Multi Epitope vaccine against Chikungunya Virus (CHIKV) |
| title_full_unstemmed |
In-Silico Design of an E2 Envelope Glycoprotein targeted Multi Epitope vaccine against Chikungunya Virus (CHIKV) |
| title_sort |
in-silico design of an e2 envelope glycoprotein targeted multi epitope vaccine against chikungunya virus (chikv) |
| publisher |
Brac University |
| publishDate |
2023 |
| url |
http://hdl.handle.net/10361/18939 |
| work_keys_str_mv |
AT ahmedintizar insilicodesignofane2envelopeglycoproteintargetedmultiepitopevaccineagainstchikungunyaviruschikv |
| _version_ |
1814307655787741184 |