In silico design of a multi-epitope pan vaccine targeting Schistosoma species

Schistosomiasis remains a significant public health burden, necessitating the development of effective vaccines against it. In this study, a multi-epitope subunit vaccine was designed against adenylate kinase 2 protein and evaluated for its potential to elicit protective immunity against three Schistosoma species. CTL, HTL, and B-cell epitopes were identified using immunoinformatics tools and linked using AAY and KK linkers, respectively. The 50S ribosomal protein L7/L12, a known TLR4 agonist, was incorporated as an adjuvant to enhance immune activation in the vaccine. Molecular docking and molecular dynamics (MD) simulations demonstrated a strong binding affinity between the vaccine and human TLR4, supported by low RMSD and Rg values, indicating structural stability. The negative binding energy further validated the vaccine's potential for engaging TLR4. The immunogenic profile predicted robust activation of CD4+ and CD8+ T cells, as well as neutralizing antibody responses. These findings highlight the potential of the vaccine to stimulate both cell-mediated and humoral immunity, making it a promising candidate for further experimental validation against schistosomiasis.

Authors

Institutions

Publication Details

Journal
Genomics & Informatics
Published
2025-10-27
DOI
https://doi.org/10.1186/s44342-025-00053-4
Citations
1
Primary Topic
vaccines and immunoinformatics approaches
Type
article
Field-Weighted Citation Impact
0.81
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

In silico design of a multi-epitope pan vaccine targeting Schistosoma species

Mansi Patel, Reeshu Gupta, Charmi Jyotishi, Daksh Gandvi
1 citations
Genomics & Informatics
vaccines and immunoinformatics approaches
0.81
article

In silico design of a multi-epitope pan vaccine targeting Schistosoma species

Mansi Patel, Reeshu Gupta, Charmi Jyotishi, Daksh Gandvi
article en
1 citations

Abstract

Schistosomiasis remains a significant public health burden, necessitating the development of effective vaccines against it. In this study, a multi-epitope subunit vaccine was designed against adenylate kinase 2 protein and evaluated for its potential to elicit protective immunity against three Schistosoma species. CTL, HTL, and B-cell epitopes were identified using immunoinformatics tools and linked using AAY and KK linkers, respectively. The 50S ribosomal protein L7/L12, a known TLR4 agonist, was incorporated as an adjuvant to enhance immune activation in the vaccine. Molecular docking and molecular dynamics (MD) simulations demonstrated a strong binding affinity between the vaccine and human TLR4, supported by low RMSD and Rg values, indicating structural stability. The negative binding energy further validated the vaccine's potential for engaging TLR4. The immunogenic profile predicted robust activation of CD4+ and CD8+ T cells, as well as neutralizing antibody responses. These findings highlight the potential of the vaccine to stimulate both cell-mediated and humoral immunity, making it a promising candidate for further experimental validation against schistosomiasis.

Genomics & InformaticsVol. 23(1)
Parul University (IN), Parul University (IN)
Openalex Percentile: Top 22%
vaccines and immunoinformatics approaches
0.81
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.

In silico design of a multi-epitope pan vaccine targeting Schistosoma species — Mansi Patel, Reeshu Gupta, et al. · Genomics & Informatics (2025) | TGRS Research Map | TGRS