Citation: Dar, H.A.; Almajhdi, F.N.;
Aziz, S.; Waheed, Y.
Immunoinformatics-Aided Analysis
of RSV Fusion and Attachment
Glycoproteins to Design a Potent
Multi-Epitope Vaccine. Vaccines 2022,
10, 1381. https://doi.org/10.3390/
vaccines10091381
Academic Editor: Toshi Nagata
Received: 4 July 2022
Accepted: 20 August 2022
Published: 24 August 2022
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Article
Immunoinformatics-Aided Analysis of RSV Fusion and
Attachment Glycoproteins to Design a Potent
Multi-Epitope Vaccine
Hamza Arshad Dar
1
, Fahad Nasser Almajhdi
2
, Shahkaar Aziz
3
and Yasir Waheed
4,
*
1
Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST),
Daejeon 34141, Korea
2
Department of Botany and Microbiology, College of Science, King Saud University,
Riyadh 11451, Saudi Arabia
3
Institute of Biotechnology and Genetic Engineering, The University of Agriculture,
Peshawar 25000, Pakistan
4
Office of Research, Innovation & Commercialization, Shaheed Zulfiqar Ali Bhutto Medical
University (SZABMU), Islamabad 44000, Pakistan
* Correspondence: director.oric@szabmu.edu.pk or yasir_waheed_199@hotmail.com; Tel.: +92-300-5338171
Abstract: Respiratory syncytial virus (RSV) usually causes respiratory tract infections of upper
airways in infants and young children. Despite recent medical advances, no approved vaccine is
available to control RSV infections. Therefore, we conducted an immunoinformatics study to design
and evaluate a potential multi-epitope vaccine against RSV. Sequence-based analyses of the glyco-
proteins F and G revealed a total of eight CD8 T-cell and three CD4 T-cell epitopes after considering
antigenicity, binding affinity and other parameters. Molecular docking analysis confirmed that these
T-cell epitopes developed strong structural associations with HLA allele(s). By integrating these
prioritized epitopes with linkers and a cholera toxin-derived adjuvant, a multi-epitope vaccine was
designed. The developed vaccine was found to be stable, non-allergenic, flexible and antigenic.
Molecular docking analysis revealed a striking mean HADDOCK score (−143.3) of top-ranked
vaccine-TLR cluster and a Gibbs free energy change (ΔG) value of −11.3 kcal mol
−1
. As per computa-
tional immune simulation results, the vaccine generated a high titer of antibodies (especially IgM)
and effector T-cells. Also, codon optimization and in silico cloning ensured the increased expression
of vaccine in Escherichia coli. Altogether, we anticipate that the multi-epitope vaccine reported in
this study will stimulate humoral and cellular responses against RSV infection, subject to follow-up
experimental validation.
Keywords: respiratory syncytial virus; multi-epitope vaccine; molecular modeling; molecular
dynamics; vaccine candidate
1. Introduction
Human respiratory syncytial virus (RSV) belongs to the Pneumoviridae virus
family [1,2]. The genome size of this species is ~15.19 kb, and it contains a single-stranded
RNA with a negative sense [3,4]. A total of two subtypes of RSV have been reportedly iden-
tified, i.e., RSV-A and RSV-B [5,6]. RSV exhibits unique characteristics that distinguish it
from its family members. The RSV virion is formed when the viral nucleocapsid is enclosed
by a lipid envelope, that in turn is generated from the host cell’s plasma membrane [7]. The
RSV genome contains a total of ten genes, including those which encode fusion protein F
and attachment glycoprotein G [7,8].
Using the F protein, the virus exhibits binding to the host cell surface [9]. After
this successful interaction, RSV enters the host cells and forms “syncytia”. The virus
surface-associated fusion and glycoproteins essentially drive the synthesis of neutralizing
antibodies in hosts, thus confirming their involvement in pathogenesis [7].
Vaccines 2022, 10, 1381. https://doi.org/10.3390/vaccines10091381 https://www.mdpi.com/journal/vaccines