Predicting candidate epitopes on Ebolaviruse for possible vaccine development

Zaire ebolavirus a member of family Filoviridae is the cause of hemorrhagic fever. Due to lack of appropriate anti-viral or vaccine, this disease is very lethal. In this study we tried to find epitopes for superficial glycoprotein of Zaire ebolavirus (that have high antigenicity for MHC I, II and B...

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Bibliographic Details
Published in2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) pp. 1083 - 1088
Main Authors Raoufi, Ehsan, Hemmati, Maryam, EinAbadi, Hossein, Fallahi, Hossein
Format Conference Proceeding
LanguageEnglish
Published ACM 25.08.2015
Subjects
Amino acids
Bioinformatics
epitopes
immune response
Immune system
immunoinformatics approach
multi-peptide vaccine
Peptides
Proteins
Vaccines
Web servers
Zaire ebolavirus
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Summary:Zaire ebolavirus a member of family Filoviridae is the cause of hemorrhagic fever. Due to lack of appropriate anti-viral or vaccine, this disease is very lethal. In this study we tried to find epitopes for superficial glycoprotein of Zaire ebolavirus (that have high antigenicity for MHC I, II and B cells) with use of in-silico methods and immunoinformatics approach. By use of CTLPred, SYFPEITHI and Propred web applications for MHC class I and SYFPEITHI and Propred1web applications for MHC class II we had been able to find epitopes (peptides) that have highest score. Also ElliPro, IgPred and Discotope web tools had been performed to predict B cells epitopes. The sequence "SRFTPQFLL" and "IFFLYDRLAS" were selected to be epitopes for MHCs molecules. The region 255 to 310 was selected for B cell epitope. It was expected these peptides could be stimulated immune response and used for designing multi-peptide vaccine against ZEV but these results should be reliable with experimental analysis.
DOI:10.1145/2808797.2809370