Immunome Research
Open Access
ISSN: 1745-7580
ISSN: 1745-7580
Research Article
Prediction of Multiple Peptide Based Vaccine from E1, E2 and Capsid Proteins of Rubella Virus: An In-Silico Approach
Author(s): Shaima Nasr Eldeen Mohamed Elgenaid, Ebrahim Mohammed Al-Hajj, Ahmed Abdulkarim Ibrahim, Mohammed Elmujtaba Adam Essa, Ahmed Hamdi Abu-haraz, Khoubieb Ali Abd-elrahman and Mohamed A HassanShaima Nasr Eldeen Mohamed Elgenaid, Ebrahim Mohammed Al-Hajj, Ahmed Abdulkarim Ibrahim, Mohammed Elmujtaba Adam Essa, Ahmed Hamdi Abu-haraz, Khoubieb Ali Abd-elrahman and Mohamed A Hassan
Rubella is a single strand RNA virus in structure that belongs to Togaviridae family. It causes rubella by respiratory droplet transmission and congenital rubella syndrome if infection to the mother occurs during pregnancy. The current life attenuated vaccine is given as part of MMR vaccine. It has many side effects and contraindicated in pregnancy and immunosuppressed persons. The aim of this study is to determine antigenic peptides from E1, E2, and Capsid proteins that can be used for multiple peptide vaccine design using In-Silico study. A total of 189 sequences of three proteins were obtained from NCBI and subjected to multiple sequence alignments using CLUSTALW tool to determine conserved regions. Immune Epitope Data Base tools were used to determine B cell epitopes, these tools are Bepipred Linear B cell epitopes prediction, surface accessibility and antigenicity predic.. View More»
DOI:
10.4172/1745-7580.1000146