%0 Journal Article
%T In Silico Development of a Multi-Epitope Vaccine Using Advanced Bioinformatics Tools and Techniques
%A Thamoghna Sure
%A Kyathi Nandini Dande
%A Chaturya Paladugu
%A Alugunulla Venkata Narayana
%A Kuppam Chandrasekhar
%A Ranga Rao Ambati
%J Journal of Biochemical Technology
%@ 0974-2328
%D 2025
%V 16
%N 4
%R 10.51847/MboQUgAvwv
%P 18-26
%X The rapid global spread and impact of SARS-CoV-2 and other emerging infectious diseases highlight the urgent need for the swift development of effective vaccines. Traditional vaccine production processes are time-consuming and resource-intensive. The present study focused on an in-silico strategy combined with sophisticated bioinformatics tools to develop a multi-epitope vaccine candidate against the SARS-CoV-2 membrane glycoprotein. The full SARS-CoV-2 genome was downloaded from NCBI to determine the sequence of the membrane glycoprotein for further research. The selected protein was subjected to antigenicity and non-allergenicity testing with the assistance of computational tools. Immuno-informatics software was used to predict B-cell and T-cell epitopes, like MHC-I and MHC-II sequences. The predicted epitopes' binding affinity to the respective MHC alleles and their ability to cover different populations were evaluated. Through a systematic in silico approach, we identified potential immunogenic epitopes that resulted in constructing a multi-epitope vaccine construct to generate strong immune responses. The present research demonstrates how bioinformatics accelerates vaccine development while minimizing the need for extensive initial experimental validation.
%U https://jbiochemtech.com/article/in-silico-development-of-a-multi-epitope-vaccine-using-advanced-bioinformatics-tools-and-techniques-yx6tbbg14vtaxqs