TY  - JOUR
T1  - In Silico Development of a Multi-Epitope Vaccine Using Advanced Bioinformatics Tools and Techniques
A1  - Thamoghna Sure
A1  - Kyathi Nandini Dande
A1  - Chaturya Paladugu
A1  - Alugunulla Venkata Narayana
A1  - Kuppam Chandrasekhar
A1  - Ranga Rao Ambati
JF  - Journal of Biochemical Technology
JO  - J Biochem Technol
SN  - 0974-2328
Y1  - 2025
VL  - 16
IS  - 4
DO  - 10.51847/MboQUgAvwv
SP  - 18
EP  - 26
N2  - 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.
UR  - https://jbiochemtech.com/article/in-silico-development-of-a-multi-epitope-vaccine-using-advanced-bioinformatics-tools-and-techniques-yx6tbbg14vtaxqs
ER  -