In silico CD4 + T-cell multiepitope prediction and HLA distribution analysis for Marburg Virus—A strategy for vaccine designing

Authors

Anupam Dhasmana, The University of Texas Rio Grande ValleyFollow
Swati Dhasmana, The University of Texas Rio Grande Valley
Ahmad Alsulimani
Sudhir Kotnala, The University of Texas Rio Grande Valley
Vivek Kumar Kashyap, The University of Texas Rio Grande Valley
Shafiul Haque
Meena Jaggi, The University of Texas Rio Grande Valley
Murali M. Yallapu, The University of Texas Rio Grande ValleyFollow
Subhash C. Chauhan, The University of Texas Rio Grande ValleyFollow

Document Type

Article

Publication Date

2-2022

Abstract

Marburg, a RNA virus (MRV), is responsible for causing hemorrhagic fever that affects humans and non-human primates. World Health Organization (WHO), National Institutes of Health (NIH) and Centre of Disease Control and Prevention (CDC) considered this as an extremely dangerous virus, thus categorised as risk group 4, category A priority pathogen and category “A” bioterrorism agent, respectively. Despite of all these alarming concerns, no prophylaxis arrangements are available against this virus till date. In fact, the construction of immunogenic vaccine candidates by traditional molecular immunology methods is time consuming and very expensive. Considering these concerns, herein, we have designed CD4 + T Cell multiepitopes against MRV using in silico approach. The pin-point criteria of the screening and selection of potential epitopes are, non-mutagenic, antigenic, large HLAs coverage, non-toxic and high world population coverage. This kind of methodology and investigations can precisely reduce the expenditure and valuable time for experimental planning in development of vaccines in laboratories. In current scenario, researchers are frequently using in silico approaches to speed up their vaccine-based lab studies. The computational studies are highly valuable for the screening of large epitope dataset into smaller one prior to in vitro and in vivo confirmatory analyses.

Comments

Copyright 2021 The Authors. Published by Elsevier B.V. on behalf of King Saud University.

Recommended Citation

Dhasmana, A., Dhasmana, S., Alsulimani, A., Kotnala, S., Kashyap, V. K., Haque, S., ... & Chauhan, S. C. (2021). In silico CD4+ T-cell multiepitope prediction and HLA distribution analysis for Marburg Virus—A strategy for vaccine designing. Journal of King Saud University-Science, 101751. https://doi.org/10.1016/j.jksus.2021.101751

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Publication Title

Journal of King Saud University – Science

DOI

10.1016/j.jksus.2021.101751

Academic Level

faculty

Mentor/PI Department

Immunology and Microbiology