Please use this identifier to cite or link to this item: http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/376
Title: Selection of T cell epitopes from S. mansoni Sm23 protein as a vaccine construct, using Immunoinformatics approach
Authors: Onile, Olugbenga S.
Fadare, Olalekan S.
Omitogun, Ofelia G.
Keywords: Schistosomiasis
T-cell epitopes
human leukocyte antigen (HLA)
vaccines
Issue Date: May-2018
Publisher: Academic Journals
Citation: Onile, O. S., Fadare, S. O., & Omitogun, G. O. (2018). Selection of T cell epitopes from S. mansoni Sm23 protein as a vaccine construct, using Immunoinformatics approach. Journal of Computational Biology and Bioinformatics Research, 8(1), 1-11
Abstract: Schistosomiasis, a neglected and most prevalenttropical diseases after malaria, have been a threat to people living in endemic areas. With regards to possible resistance to the popular drug (praziquantel) use for treatment of schistosomiasis, the need for a permanent vaccinating approach has been justified. This study uses an in silico approach to identify potential target vaccine candidate or T cell epitopes (T cell response activating epitope) for the treatment of schistosomiasis. This research therefore identified some candidate T cell epitopes from Sm23 protein of Schistosma mansoni using immunoinformatics tools. Nonameric epitopes like 85YMYAFFLVV93 , 83MLYMYAFFL91 , 8MRCLKSCVF16 , 41SQYGDNLHK49 and 104VAVVYKDRI112 was found to exhibit strong binding affinity with some human leukocyte antigen (HLA). The predicted epitope was found to have no similarity with human proteome, a good attribute that is conferred on any good vaccine candidate. The predicted epitopes provide promising drug candidates and could be tested by wet laboratory as targeted vaccine against S. mansoni infection.
URI: 10.5897/JCBBR2016.0109
http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/376
ISSN: 2141-2227
Appears in Collections:Research Articles

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