Targeting G and F proteins of human metapneumovirus: An in silico strategy for multiepitope vaccine design

Human metapneumovirus (hMPV) is a predominant etiological agent of acute respiratory infections in infants, the elderly, and immunocompromised individuals; however, no approved vaccinations are available. To fulfill this unmet requirement, we developed an innovative multi-epitope subunit vaccine aimed at conserved domains of hMPV's glycoprotein (G) and fusion protein (F) utilizing immunoinformatics methodologies. Utilizing reverse vaccinology, 79 immunogenic epitopes (31 MHC-I, 48 MHC-II) were discovered, associated with optimal spacers, and then fused to cholera toxin B adjuvant to augment immunogenicity. The resulting construct of 528 amino acids (57.5 kDa) exhibited superior physicochemical characteristics, including good stability (instability index: 36.8), solubility (GRAVY: -0.63), and non-allergenicity. Structural validation indicated a revised tertiary model with 95.7% of residues in preferred Ramachandran regions. Molecular docking demonstrated significant binding score to the innate immune receptors TLR3 and TLR4, whereas immunological simulations forecasted substantial long-term protection via increased IgM/IgG titers, memory B & T-cell proliferation, and generation of IFN-γ/IL-2. The candidate attained 94.7% global population coverage and was codon-optimized for elevated expression in Escherichia coli (CAI: 0.95; GC: 68.9%), with effective in silico cloning. This study introduces a computationally verified, structurally stable hMPV vaccine with extensive protective capabilities, showcasing immunoinformatics as a strategic framework for expediting development against new respiratory infections. Additional in vitro and in vivo investigations are necessary to validate efficacy.

Authors

Publication Details

Journal
In Silico Research in Biomedicine
Published
2025-12-26
DOI
https://doi.org/10.1016/j.insi.2025.100167
Primary Topic
Respiratory viral infections research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Targeting G and F proteins of human metapneumovirus: An in silico strategy for multiepitope vaccine design

Inderjit Singh Yadav, Anoop Kumar, Gauri Misra, Sneh Lata
In Silico Research in Biomedicine
Respiratory viral infections research
article

Targeting G and F proteins of human metapneumovirus: An in silico strategy for multiepitope vaccine design

Inderjit Singh Yadav, Anoop Kumar, Gauri Misra, Sneh Lata
article en

Abstract

Human metapneumovirus (hMPV) is a predominant etiological agent of acute respiratory infections in infants, the elderly, and immunocompromised individuals; however, no approved vaccinations are available. To fulfill this unmet requirement, we developed an innovative multi-epitope subunit vaccine aimed at conserved domains of hMPV's glycoprotein (G) and fusion protein (F) utilizing immunoinformatics methodologies. Utilizing reverse vaccinology, 79 immunogenic epitopes (31 MHC-I, 48 MHC-II) were discovered, associated with optimal spacers, and then fused to cholera toxin B adjuvant to augment immunogenicity. The resulting construct of 528 amino acids (57.5 kDa) exhibited superior physicochemical characteristics, including good stability (instability index: 36.8), solubility (GRAVY: -0.63), and non-allergenicity. Structural validation indicated a revised tertiary model with 95.7% of residues in preferred Ramachandran regions. Molecular docking demonstrated significant binding score to the innate immune receptors TLR3 and TLR4, whereas immunological simulations forecasted substantial long-term protection via increased IgM/IgG titers, memory B & T-cell proliferation, and generation of IFN-γ/IL-2. The candidate attained 94.7% global population coverage and was codon-optimized for elevated expression in Escherichia coli (CAI: 0.95; GC: 68.9%), with effective in silico cloning. This study introduces a computationally verified, structurally stable hMPV vaccine with extensive protective capabilities, showcasing immunoinformatics as a strategic framework for expediting development against new respiratory infections. Additional in vitro and in vivo investigations are necessary to validate efficacy.

In Silico Research in BiomedicineVol. 2
Openalex Percentile: Top 30%
Respiratory viral infections research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.