Citation

Mohammed, Arwa A. and Shantier, Shaza W. and Mustafa, Mujahed I. and Osman, Hind K. and Elmansi, Hashim E. and Osman, Isam-Aldin A. and Mohammed, Rawan A. and Abdelrhman, Fatima A. and Elnnewery, Mihad E. and Yousif, Einas M. and Mustafa, Marwa M. and Elfadol, Nafisa M. and Abdalla, Alaa I. and Mahmoud, Eiman and Yagaub, Ahmed A. and Ahmed, Yassir A. and Hassan, Mohamed A. (2020) Epitope-Based Peptide Vaccine against Glycoprotein G of Nipah Henipavirus Using Immunoinformatics Approaches. Journal of Immunology Research, 2020. pp. 1-12. ISSN 2314-8861, 2314-7156

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Abstract

Background. Nipah belongs to the genusHenipavirusand theParamyxoviridae family. It is an endemic most commonly foundat South Asia and hasfirst emerged in Malaysia in 1998. Bats are found to be the main reservoir for this virus, causing disease inboth humans and animals. The last outbreak has occurred in May 2018 in Kerala. It is characterized by high pathogenicity andfatality rates which varies from 40% to 70% depending on the severity of the disease and on the availability of adequatehealthcare facilities. Currently, there are no antiviral drugs available for NiV disease and the treatment is just supportive.Clinical presentations for this virus range from asymptomatic infection to fatal encephalitis.Objective. This study is aimed atpredicting an effective epitope-based vaccine against glycoprotein G of Nipah henipavirus, using immunoinformaticsapproaches.Methods and Materials. Glycoprotein G of the Nipah virus sequence was retrieved from NCBI. Differentprediction tools were used to analyze the epitopes, namely, BepiPred-2.0: Sequential B Cell Epitope Predictor for B cell andT cell MHC classes II and I. Then, the proposed peptides were docked using Autodock 4.0 software program.Results andConclusions. The two peptides TVYHCSAVY and FLIDRINWI have showed a very strong binding affinity to MHC class Iand MHC class II alleles. Furthermore, considering the conservancy, the affinity, and the population coverage, the peptideFLIDRINWIT is highly suitable to be utilized to formulate a new vaccine against glycoprotein G of Nipah henipavirus. Anin vivo study for the proposed peptides is also highly recommended.

Item Type:	Article
Uncontrolled Keywords:	Immunoinformatics
Subjects:	Q Science > QR Microbiology
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	09 Dec 2020 14:47
Last Modified:	09 Dec 2020 14:47
URII:	http://shdl.mmu.edu.my/id/eprint/7811

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