Shahab, Muhammad and Iqbal, Muhammad Waleed and Ahmad, Abbas and Alshabrmi, Fahad M. and Wei, Dong-Qing and Khan, Abbas * and Zheng, Guojun (2024) Immunoinformatics-driven In silico vaccine design for Nipah virus (NPV): Integrating machine learning and computational epitope prediction. Computers in Biology and Medicine, 170. ISSN 1879-0534
Full text not available from this repository.Abstract
The Nipah virus (NPV) is a highly lethal virus, known for its significant fatality rate. The virus initially originated in Malaysia in 1998 and later led to outbreaks in nearby countries such as Bangladesh, Singapore, and India. Currently, there are no specific vaccines available for this virus. The current work employed the reverse vaccinology method to conduct a comprehensive analysis of the entire proteome of the NPV virus. The aim was to identify and choose the most promising antigenic proteins that could serve as potential candidates for vaccine development. We have also designed B and T cell epitopes-based vaccine candidate using immunoinformatics approach. We have identified a total of 5 novel Cytotoxic T Lymphocytes (CTL), 5 Helper T Lymphocytes (HTL), and 6 linear B-cell potential antigenic epitopes which are novel and can be used for further vaccine development against Nipah virus. Then we performed the physicochemical properties, antigenic, immunogenic and allergenicity prediction of the designed vaccine candidate against NPV. Further, Computational analysis indicated that these epitopes possessed highly antigenic properties and were capable of interacting with immune receptors. The designed vaccine were then docked with the human immune receptors, namely TLR-2 and TLR-4 showed robust interaction with the immune receptor. Molecular dynamics simulations demonstrated robust binding and good dynamics. After numerous dosages at varied intervals, computational immune response modeling showed that the immunogenic construct might elicit a significant immune response. In conclusion, the immunogenic construct shows promise in providing protection against NPV, However, further experimental validation is required before moving to clinical trials.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | immunoinformatics; NPV; reverse vaccinology; vaccine design; |
| Subjects: | Q Science > QR Microbiology R Medicine > RM Therapeutics. Pharmacology |
| Divisions: | Others > Non Sunway Academics Sunway University > School of Medical and Life Sciences [formerly School of Healthcare and Medical Sciences until 2020] > Sunway Microbiome Centre [formerly Centre for Virus and Vaccine Research until 2023] |
| Depositing User: | Ms Yong Yee Chan |
| Date Deposited: | 15 Jul 2024 00:36 |
| Last Modified: | 15 Jul 2024 00:36 |
| URI: | http://eprints.sunway.edu.my/id/eprint/2805 |
Actions (login required)
 |
View Item |
