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Design and construction of multi epitope- peptide vaccine candidate for rabies virus



Hasanain Abdulhameed Odhar*, Ahmed Fadhil Hashim, Suhad Sami Humadi & Salam Waheed Ahjel



Department of pharmacy, Al-Zahrawi University College, Karbala, Iraq; *Corresponding author:



Hasanain Abdulhameed Odhar - E-mail: hodhar3@gmail.com hassaninathar@g.alzahu.edu.iq

Ahmed Fadhil Hashim - E-mail: ahmedfadhil@g.alzahu.edu.iq

Suhad Sami Humadi - E-mail: suhad@g.alzahu.edu.iq

Salam Waheed Ahjel - E-mail: salam.waheed@g.alzahu.edu.iq


Article Type

Research Article



Received February 1, 2023; Revised February 28, 2023; Accepted February 28, 2023, Published February 28, 2023



Rabies virus is a zoonotic pathogen that causes lethal encephalitis with a case fatality rate of almost 100% in unvaccinated individuals. The currently available vaccines against rabies are composed of inactivated viral particles that only confer a short-term immune response. It is well-known that the entry of rabies virus into host cells is mediated by a trimeric glycoprotein presents on the surface of viral envelope. As the sole viral surface protein, this trimeric glycoprotein represents a promising molecular target to design new vaccines and neutralizing antibodies against rabies virus. Epitope mapping studies had identified several antigenic sites on the surface of trimeric pre-fusion glycoprotein of rabies virus. Therefore, it is of interest to screen the rabies virus glycoprotein by different web-based immuno-informatics tools to identify potential B-cells and T-cells linear epitopes. Here, we present a construct of peptide vaccine that consists of these predicted linear epitopes of rabies virus glycoprotein together with appropriate linkers and adjuvant. Various online prediction tools, molecular docking and dynamics simulation assume that the vaccine construct may be stable, safe and effective. However, validation of these in-silico results is necessary both in vitro and in vivo setting.   



epitope, peptide vaccine, rabies, glycoprotein, docking, dynamics simulation



Odhar et al. Bioinformation 19(2): 167-177 (2023)


Edited by

P Kangueane






Biomedical Informatics



This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.