Epitope-Based Peptide Vaccine Design against Coronavirus using Immuno-informatics Approaches
- 1 Department of Biotechnology and Genetic Engineering, Faculty of Biological Sciences, Islamic University, Kushtia-7003, Bangladesh
- 2 Laboratory of Medical and Environmental Biotechnology, Faculty of Biological Sciences, Islamic University, Kushtia-7003, Bangladesh
* Author to whom correspondence should be addressed. Mohammad Abu Hena Mostofa Jamal (jamalbtg@gmail.com)
Abstract
The rapid emergence and global spread of coronavirus infections have emphasized the need for effective and rapidly deployable vaccine strategies. Epitope-based peptide vaccines have gained considerable attention due to their safety, specificity, and ability to induce targeted immune responses. In this study, an immunoinformatics-driven approach was employed to identify potential T-cell and B-cell epitopes for the development of a peptide vaccine against coronavirus. Viral protein sequences were analyzed to predict antigenic, immunogenic, conserved, and non-toxic epitopes capable of eliciting both cellular and humoral immune responses. Six highly antigenic CD8+ T-cell epitopes (AYAKLGLSI, YAKLGLSII, AKDKAYAKL, VEFKTGKLL, FAVTLKVEF, and LLAAKDKAY) were identified as promising vaccine candidates. All selected epitopes showed 100% sequence conservancy and demonstrated favorable interactions with major histocompatibility complex (MHC) molecules. Population coverage analysis indicated that these epitopes could potentially provide immune coverage for 71.63% of the global population. Furthermore, molecular docking studies confirmed strong binding affinity between the predicted epitopes and their respective immune receptors. Two conserved and non-toxic linear B-cell epitopes, YAKLGLSII and FAVTLKVEF, were also identified as potential candidates for antibody-mediated immunity. The findings of this study provide promising peptide vaccine candidates and highlight the usefulness of immunoinformatics approaches in accelerating coronavirus vaccine development through computational vaccine design and rational epitope selection.
Keywords
Cite this article
Sabbir Ahmed, Md. Zakariya Alam Bappi, Shaila Akter Tumpa, Shatabdi Islam Shanta, Kaniz Fatema, Tasfia Wahed Annanya, Nilufa Akhter Banu, Md. Rezuanul Islam, & Mohammad Abu Hena Mostofa Jamal (2026). Epitope-Based Peptide Vaccine Design against Coronavirus using Immuno-informatics Approaches. Integrative Bioscience Nexus, 1(2). https://doi.org/10.xxxx/ibn.2026.11.0006
Sabbir Ahmed, et al.. "Epitope-Based Peptide Vaccine Design against Coronavirus using Immuno-informatics Approaches." Integrative Bioscience Nexus, vol. 1, no. 2, 2026, https://doi.org/10.xxxx/ibn.2026.11.0006.
Sabbir Ahmed, Md. Zakariya Alam Bappi, Shaila Akter Tumpa, Shatabdi Islam Shanta, Kaniz Fatema, Tasfia Wahed Annanya, Nilufa Akhter Banu, Md. Rezuanul Islam, and Mohammad Abu Hena Mostofa Jamal. 2026. "Epitope-Based Peptide Vaccine Design against Coronavirus using Immuno-informatics Approaches." Integrative Bioscience Nexus 1(2). https://doi.org/10.xxxx/ibn.2026.11.0006.
@article{epitope-based-peptide-vaccine-design-aga2026,
author = {Sabbir Ahmed and Md. Zakariya Alam Bappi and Shaila Akter Tumpa and Shatabdi Islam Shanta and Kaniz Fatema and Tasfia Wahed Annanya and Nilufa Akhter Banu and Md. Rezuanul Islam and Mohammad Abu Hena Mostofa Jamal},
title = {Epitope-Based Peptide Vaccine Design against Coronavirus using Immuno-informatics Approaches},
journal = {Integrative Bioscience Nexus},
year = {2026},
volume = {1},
number = {2},
doi = {10.xxxx/ibn.2026.11.0006},
url = {https://biologicaaid.com/ibn/vol1/iss2/epitope-based-peptide-vaccine-design-against-coronavirus-using-immuno-informatics-approaches/},
}