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http://dx.doi.org/10.5392/JKCA.2018.18.04.099

Discrimination of Flaviviruses with High Frequency of Infection in Asian Countries: Epitope Prediction by Bioinformatic Approaches  

Choi, Jae-Won (충북대학교 생화학과)
Jo, Byung-Gwan (충북대학교 생화학과)
Kim, Min Jung (충북대학교 생화학과)
Park, Suji (충북대학교 생화학과)
Kim, Hak Yong (충북대학교 생화학과)
Publication Information
The Journal of the Korea Contents Association / v.18, no.4, 2018 , pp. 99-113 More about this Journal
Abstract
Recently, global warming has widened the habitat of mosquitoes and infection chances for mosquito-borne diseases are increasing. Flavivirus is a typical mosquito-borne virus. Flaviviruses with a relatively high frequency of infection in Asian countries include Zika, Dengue, and Japanese encephalitis viruses. Although distinctive diagnosis of flaviviruses is required because the symptoms and therapeutic method differ, there is no diagnostic method that can distinguish them accurately yet. In this study, we propose distinctive diagnosis method of flaviviruses using informations and analysis tools constructed in bioinformatic databases. The envelope protein and non-structural protein 1 which are useful protein for the immuno-diagnostics of three flaviviruses were selected. Their homology was analyzed by multiple sequence alignments and epitope candidates consisting of 10-15 amino acids were selected. Finally two epitopes were suggested to be most useful by immunogenicity analysis and 3D structure prediction. These approaches and results are expected to be great value in the distinctive diagnosis of three flaviviruses with a high frequency of infection in Asian countries.
Keywords
Flavivirus; Bioinformatics; Epitope; Immunogenicity; Immuno-diagnostics;
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