An in-silico approach to design a vaccine against beta lactamase enzyme of mycobacterium tuberculosis

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Pharmacy, 2022.

Opis bibliograficzny
1. autor: Meem, Fatiha Soumaiya
Kolejni autorzy: Siam, Mohammad Kawsar Sharif
Format: Praca dyplomowa
Język:English
Wydane: Brac University 2024
Hasła przedmiotowe:
Dostęp online:http://hdl.handle.net/10361/22197
id 10361-22197
record_format dspace
spelling 10361-221972024-01-25T21:02:36Z An in-silico approach to design a vaccine against beta lactamase enzyme of mycobacterium tuberculosis Meem, Fatiha Soumaiya Siam, Mohammad Kawsar Sharif School of Pharmacy, Brac University In-silico Vaccine candidates Epitopes Beta lactamase enzyme Mycobacterium tuberculosis Tuberculosis 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 38-41). More people die from tuberculosis (TB) than any other disease worldwide, which happens due to the presence of drug-resistant forms of Mycobacterium tuberculosis (Mtb). A vaccination against the beta lactamase enzyme of Mycobacterium TB has been developed in this study using cutting-edge computational tools and methods. Using the UniProt Knowledgebase (UniProtKB), the appropriate bacterial enzyme was chosen. Applying the Vaxijen v2.0 platform, antigenicity was anticipated. NetCTL 1.2 server was employed in order to determine the cytotoxic T lymphocytes (CTL). The MHC I alleles specific to CTL were also predicted through NetMHC Pan 4.1 server. The helper T lymphocytes (HTL) were found out with the help of the NetMHC II pan 4.0 tool. Using IFN epitope servers, IL4 pred servers, and IL10 pred servers, respectively, the productivity of interferon gamma, IL4, and IL10 of the CTL and the HTL were anticipated. Prediction of epitopes for B cells were done by employing Bepipred linear epitope prediction model 2.0. Considering their toxicity, antigenicity, and allergenicity, the B and T cells underwent additional testing. Linkers were inserted in between the adjuvant and epitopes for B and T cells to create the vaccine. To forecast the vaccine's allergenicity, antigenicity, toxicity, and other physiochemical features, various bioinformatics approaches were employed. The PROTPARAM server was used to perform biochemical analysis of the proposed vaccination. Phyre2 was utilized in order to validate the 3D structure of vaccine candidate. Patchdock tool was used to perform the docking between the obtained 3D structure with toll-like-receptor (TLR-3). To perform the Ramachandran plotting and Z scores analysis Swiss PDP plotter and Prosaweb servers were used respectively. Lastly, the immune simulations were carried out utilizing C-Immsim. Fatiha Soumaiya Meem B. Pharmacy 2024-01-25T05:01:48Z 2024-01-25T05:01:48Z 2022 2022-11 Thesis ID 17146001 http://hdl.handle.net/10361/22197 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. 41 pages application/pdf Brac University
institution Brac University
collection Institutional Repository
language English
topic In-silico
Vaccine candidates
Epitopes
Beta lactamase enzyme
Mycobacterium tuberculosis
Tuberculosis
spellingShingle In-silico
Vaccine candidates
Epitopes
Beta lactamase enzyme
Mycobacterium tuberculosis
Tuberculosis
Meem, Fatiha Soumaiya
An in-silico approach to design a vaccine against beta lactamase enzyme of mycobacterium tuberculosis
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
Meem, Fatiha Soumaiya
format Thesis
author Meem, Fatiha Soumaiya
author_sort Meem, Fatiha Soumaiya
title An in-silico approach to design a vaccine against beta lactamase enzyme of mycobacterium tuberculosis
title_short An in-silico approach to design a vaccine against beta lactamase enzyme of mycobacterium tuberculosis
title_full An in-silico approach to design a vaccine against beta lactamase enzyme of mycobacterium tuberculosis
title_fullStr An in-silico approach to design a vaccine against beta lactamase enzyme of mycobacterium tuberculosis
title_full_unstemmed An in-silico approach to design a vaccine against beta lactamase enzyme of mycobacterium tuberculosis
title_sort in-silico approach to design a vaccine against beta lactamase enzyme of mycobacterium tuberculosis
publisher Brac University
publishDate 2024
url http://hdl.handle.net/10361/22197
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