Frontiers in Immunology 2022
Immunoinformatics Aided Design and In-Vivo Validation of a Cross-Reactive Peptide Based Multi-Epitope Vaccine Targeting Multiple Serotypes of Dengue Virus
Vikas Kaushik, Sunil Krishnan G, Lovi Raj Gupta, Utkarsh Kalra, Abdul Rajjak Shaikh, Luigi Cavallo, Mohit Chawla
Dengue affects over 400 million people a year, and current vaccines remain limited. This study uses immunoinformatics to design a multi-epitope vaccine covering all four dengue serotypes, selecting ten conserved, interferon-inducing epitopes. Molecular docking and molecular dynamics predicted stable binding to the TLR5 receptor, and, unusually, one epitope was synthesised and shown to raise antibodies in a rabbit model, supporting the design’s immunogenicity.
Methods you can learn
Cite this paper
Vikas Kaushik, Sunil Krishnan G, Lovi Raj Gupta, Utkarsh Kalra, Abdul Rajjak Shaikh, Luigi Cavallo, Mohit Chawla (2022) Immunoinformatics Aided Design and In-Vivo Validation of a Cross-Reactive Peptide Based Multi-Epitope Vaccine Targeting Multiple Serotypes of Dengue Virus. Frontiers in Immunology. https://doi.org/10.3389/fimmu.2022.865180
No volume or page numbers are shown because the record does not carry them; the DOI resolves the full reference.
Related papers
- Immunoinformatics-Aided Design of a Peptide Based Multiepitope Vaccine Targeting Glycoproteins and Membrane Proteins against Monkeypox Virus
- Immunoinformatics-Aided Design and In Vivo Validation of a Peptide-Based Multiepitope Vaccine Targeting Canine Circovirus
- Secreted Aspartyl Proteinases Targeted Multi-Epitope Vaccine Design for Candida dubliniensis Using Immunoinformatics
