ISSN: 2379-1764
Marwan Mustafa Badawi
Sudan
Research Article
Multi Epitope Peptide Vaccine Prediction against Sudan Ebola Virus Using Immuno-Informatics Approaches
Author(s): Ahmed Hamdi Abu-haraz*, Khoubieb Ali Abd-elrahman, Mojahid Salah Ibrahim, Waleed Hassan Hussien, Mohammed Siddig Mohammed, Marwan Mustafa Badawi and Mohamed Ahmed Salih
Ahmed Hamdi Abu-haraz*, Khoubieb Ali Abd-elrahman, Mojahid Salah Ibrahim, Waleed Hassan Hussien, Mohammed Siddig Mohammed, Marwan Mustafa Badawi and Mohamed Ahmed Salih
Sudan Ebola virus is single stranded negative sense RNA genome belonging to Filovirus Filoviridae family that causes hemorrhagic fever. There is no treatment or vaccine for it, thus the aim of this study is to design a peptide vaccine using immuoinformatics approaches to analyse the glycoprotein of the all strain of SUDV, to determine the conserved region which is further studied to predict all possible epitopes that can be used as a peptide vaccine. A total of 21 Sudan Ebola virus glycoprotein retrieved from NCBI database were aligned to determine the conservancy and to predict the epitopes using IEDB analysis resource. Three epitopes predicted as a peptide vaccine for B cell (PPPPDGVR, ETFLQSPP, LQSPPIRE). For T cell four epitopes showed high affinity to MHC class I (FLYDRLAST, IIIAIIALL, MHNQNALVC and RTYTILNRK) and high coverage against Sudan and the whole world population. Also i.. View More»
DOI:
10.4172/2379-1764.1000203