Reverse Vaccinology and Immunoinformatics Identify Multi-Epitope Vaccine Candidates against Molluscum Contagiosum Virus

Abstract Molluscum contagiosum virus (MCV) is a human-specific poxvirus responsible for a common contagious skin infection, yet no licensed prophylactic vaccine isavailable. Therefore, this study aimed to identify potential vaccine candidates against MCV using integrated reverse vaccinology and immunoinformatics approach. Candidate proteins involved in immune evasion, viral entry, and virion assembly were assessed for physicochemical properties, transmembrane topology, antigenicity, allergenicity, and toxicity. Linear B-cell, cytotoxic T-lymphocyte (CTL), and helper T-lymphocyte (HTL) epitopes were predicted and prioritized based on antigenicity, safety, HLA-binding affinity, and worldwide population coverage. The selected epitopes were assembled into a multi-epitope vaccine construct, followed by physicochemical characterization, secondary and tertiary structure prediction, and molecular docking analysis with Toll-like receptor 4 (TLR4). Eight candidate proteins were selected for immunoinformatics analysis, of which six were predicted to be antigenic. Five HTL epitopes, five CTL epitopes, and three non-toxic antigenic B-cell epitopes were selected, providing an estimated worldwide population coverage of 80.69%. The final 351-amino acid contruct had a predicted molecular weight of 37.48 kDa, an instability index of 33.29, and a hydrophilic GRAVY value of -0.201. AlphaFold 3 produced a structurally organized model, while docking predicted a favorable interaction with TLR4(score, −190.46) supported by hydrogen bonds, salt bridges, and electrostatic interactions. The vaccine construct exhibited favorable physicochemical properties, broad population coverage, structural stability, and strong interaction with TLR4, suggesting its potential as a prophylactic vaccine candidate. Nevertheless, further in vitro and in vivo experimental validation is required to confirm its safety and protective efficacy.

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Journal
Biology Methods and Protocols
Published
2026-08-13
DOI
https://doi.org/10.1093/biomethods/bpag045
Primary Topic
vaccines and immunoinformatics approaches
Type
article
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article

Reverse Vaccinology and Immunoinformatics Identify Multi-Epitope Vaccine Candidates against Molluscum Contagiosum Virus

Shahrazad Ahmed Khalaf, Murtada Naser, Younus Jasim Abdullah, Musaab M Jasim
Biology Methods and Protocols
vaccines and immunoinformatics approaches
article

Reverse Vaccinology and Immunoinformatics Identify Multi-Epitope Vaccine Candidates against Molluscum Contagiosum Virus

Shahrazad Ahmed Khalaf, Murtada Naser, Younus Jasim Abdullah, Musaab M Jasim
article en

Abstract

Abstract Molluscum contagiosum virus (MCV) is a human-specific poxvirus responsible for a common contagious skin infection, yet no licensed prophylactic vaccine isavailable. Therefore, this study aimed to identify potential vaccine candidates against MCV using integrated reverse vaccinology and immunoinformatics approach. Candidate proteins involved in immune evasion, viral entry, and virion assembly were assessed for physicochemical properties, transmembrane topology, antigenicity, allergenicity, and toxicity. Linear B-cell, cytotoxic T-lymphocyte (CTL), and helper T-lymphocyte (HTL) epitopes were predicted and prioritized based on antigenicity, safety, HLA-binding affinity, and worldwide population coverage. The selected epitopes were assembled into a multi-epitope vaccine construct, followed by physicochemical characterization, secondary and tertiary structure prediction, and molecular docking analysis with Toll-like receptor 4 (TLR4). Eight candidate proteins were selected for immunoinformatics analysis, of which six were predicted to be antigenic. Five HTL epitopes, five CTL epitopes, and three non-toxic antigenic B-cell epitopes were selected, providing an estimated worldwide population coverage of 80.69%. The final 351-amino acid contruct had a predicted molecular weight of 37.48 kDa, an instability index of 33.29, and a hydrophilic GRAVY value of -0.201. AlphaFold 3 produced a structurally organized model, while docking predicted a favorable interaction with TLR4(score, −190.46) supported by hydrogen bonds, salt bridges, and electrostatic interactions. The vaccine construct exhibited favorable physicochemical properties, broad population coverage, structural stability, and strong interaction with TLR4, suggesting its potential as a prophylactic vaccine candidate. Nevertheless, further in vitro and in vivo experimental validation is required to confirm its safety and protective efficacy.

Biology Methods and Protocols
University of Basrah (IQ), Northern Technical University (IQ), University of Diyala (IQ)
Good health and well-being
Openalex Percentile: Top 16%
vaccines and immunoinformatics approaches
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