CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Computational Design of a Novel VLP-Based Vaccine for Hepatitis B Virus
Authors
M. Chizari
L. Mafakher
+3 more
S. Mobini
E. Rismani
E. Rismani
Publication date
1 January 2020
Publisher
Abstract
Hepatitis B virus (HBV) is a global virus responsible for a universal disease burden for millions of people. Various vaccination strategies have been developed using viral vector, nucleic acid, protein, peptide, and virus-like particles (VLPs) to stimulate favorable immune responses against HBV. Given the pivotal role of specific immune responses of hepatitis B surface antigen (HBsAg) and hepatitis B core antigen (HBcAg) in infection control, we designed a VLP-based vaccine by placing the antibody-binding fragments of HBsAg in the major immunodominant region (MIR) epitope of HBcAg to stimulate multilateral immunity. A computational approach was employed to predict and evaluate the conservation, antigenicity, allergenicity, and immunogenicity of the construct. Modeling and molecular dynamics (MD) demonstrated the folding stability of HBcAg as a carrier in inserting Myrcludex and �a� determinant of HBsAg. Regions 1�50 and 118�150 of HBsAg were considered to have the highest stability to be involved in the designed vaccine. Molecular docking revealed appropriate interactions between the B cell epitope of the designed vaccine and the antibodies. Totally, the final construct was promising for inducing humoral and cellular responses against HBV. © Copyright © 2020 Mobini, Chizari, Mafakher, Rismani and Rismani
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
eprints Iran University of Medical Sciences
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:eprints.iums.ac.ir:34234
Last time updated on 03/06/2021