Analysis of Envelope Glycoprotein (E2) of Hepatitis C Virus (HCV) for proposing efficient multi-epitope peptide vaccine based on immuno-informatics approach

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

Bibliographic Details
Main Author:	Rahman, Adiba
Other Authors:	Siam, Mohammad Kawsar Sharif
Format:	Thesis
Language:	English
Published:	Brac University 2023
Subjects:	E2 protein MSA CTL HTL B cell HCV Hepatitis C virus Genetics
Online Access:	http://hdl.handle.net/10361/18057

id	10361-18057
record_format	dspace
spelling	10361-180572023-04-03T21:01:49Z Analysis of Envelope Glycoprotein (E2) of Hepatitis C Virus (HCV) for proposing efficient multi-epitope peptide vaccine based on immuno-informatics approach Rahman, Adiba Siam, Mohammad Kawsar Sharif Department of Pharmacy, Brac University E2 protein MSA CTL HTL B cell HCV Hepatitis C virus Genetics 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 45-54). Hepatitis C virus (HCV) that causes viral hepatitis is producing 1.5 million patients every year worldwide to boost chronically infected number of people to 58 million susceptible in developing liver carcinoma and cirrhosis. Hence, for designing a preventive vaccine, cost- friendly and convenient immuno-informatics approach can be exploited that constructs multi-epitope peptide vaccine. In this study, envelope glycoprotein (E2) sequences from genotype1, 2, 3 and 4 were evaluated due to their prevalence. E2 protein was considered as the mostsuitable antigen to run multiple sequence alignment (MSA) and numerous immuno- informatics web servers were used to predict efficient cytotoxic T lymphocyte (CTL), helper Tlymphocyte (HTL) and B cell epitope that resulted in 1 CTL, 1 HTL and 3 B cell epitopes to get included in the vaccine construct along with HSP60 adjuvant. Finally, the vaccine peptide was analyzed in different parameters to present it as a potential candidate against HCV. Adiba Rahman B. Pharmacy 2023-04-03T04:37:56Z 2023-04-03T04:37:56Z 2022 2022-11 Thesis ID 18146072 http://hdl.handle.net/10361/18057 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. 54 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	English
topic	E2 protein MSA CTL HTL B cell HCV Hepatitis C virus Genetics
spellingShingle	E2 protein MSA CTL HTL B cell HCV Hepatitis C virus Genetics Rahman, Adiba Analysis of Envelope Glycoprotein (E2) of Hepatitis C Virus (HCV) for proposing efficient multi-epitope peptide vaccine based on immuno-informatics approach
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 Rahman, Adiba
format	Thesis
author	Rahman, Adiba
author_sort	Rahman, Adiba
title	Analysis of Envelope Glycoprotein (E2) of Hepatitis C Virus (HCV) for proposing efficient multi-epitope peptide vaccine based on immuno-informatics approach
title_short	Analysis of Envelope Glycoprotein (E2) of Hepatitis C Virus (HCV) for proposing efficient multi-epitope peptide vaccine based on immuno-informatics approach
title_full	Analysis of Envelope Glycoprotein (E2) of Hepatitis C Virus (HCV) for proposing efficient multi-epitope peptide vaccine based on immuno-informatics approach
title_fullStr	Analysis of Envelope Glycoprotein (E2) of Hepatitis C Virus (HCV) for proposing efficient multi-epitope peptide vaccine based on immuno-informatics approach
title_full_unstemmed	Analysis of Envelope Glycoprotein (E2) of Hepatitis C Virus (HCV) for proposing efficient multi-epitope peptide vaccine based on immuno-informatics approach
title_sort	analysis of envelope glycoprotein (e2) of hepatitis c virus (hcv) for proposing efficient multi-epitope peptide vaccine based on immuno-informatics approach
publisher	Brac University
publishDate	2023
url	http://hdl.handle.net/10361/18057
work_keys_str_mv	AT rahmanadiba analysisofenvelopeglycoproteine2ofhepatitiscvirushcvforproposingefficientmultiepitopepeptidevaccinebasedonimmunoinformaticsapproach
_version_	1814308761105334272

Analysis of Envelope Glycoprotein (E2) of Hepatitis C Virus (HCV) for proposing efficient multi-epitope peptide vaccine based on immuno-informatics approach

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