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A High Throughput MHC II Binding Assay for Quantitative Analysis of Peptide Epitopes
Published on: March 25, 2014
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Exploring rotavirus proteome to identify potential B- and T-cell epitope using computational immunoinformatics.
Yengkhom Damayanti Devi1, Arpita Devi1, Hemanga Gogoi1
1Department of Molecular Biology and Biotechnology, Tezpur University, Napaam 784 028, Assam, India.
Heliyon
|January 11, 2021
Summary
This study computationally identified B- and T-cell epitopes for rotavirus, designing a multi-epitope vaccine construct. This approach may lead to effective vaccines against rotavirus gastroenteritis in children.
Area of Science:
- Immunology
- Vaccinology
- Computational Biology
Background:
- Rotavirus is a leading cause of childhood gastroenteritis globally.
- Limited understanding exists regarding B- and T-cell roles in long-term rotavirus immunity.
Purpose of the Study:
- To computationally identify potential B- and T-cell epitopes from rotavirus proteins.
- To design and evaluate a stable, in-silico multi-epitope vaccine construct against rotavirus.
Main Methods:
- Applied computational immuno-informatics to predict B- and T-cell epitopes.
- Selected epitopes based on immunogenicity, conservancy, and allergenicity.
- Constructed and simulated a multi-epitope vaccine using molecular dynamics.
Main Results:
- Identified numerous linear and conformational B-cell, TC cell, and TH cell epitopes.
- Developed a stable in-silico multi-epitope vaccine construct with an adjuvant.
- Successfully expressed and purified codon-optimized vaccine antigens using E. coli.
Conclusions:
- The developed multi-epitope vaccine construct shows potential for inducing long-term immune responses against rotavirus.
- Computational predictions provide a foundation for developing novel epitope-based rotavirus vaccines and diagnostics.
