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

아시아 국가 내에서 감염빈도가 높은 플라비바이러스의 구별: 생물정보학적 접근을 통한 항원결정기 예측

  • Received : 2018.01.31
  • Accepted : 2018.03.28
  • Published : 2018.04.28

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.

최근 지구온난화로 인해 모기의 서식지가 넓어짐에 따라, 모기가 매개하는 감염병의 감염기회가 높아지고 있다. 플라비바이러스는 대표적인 모기매개 바이러스로, 아시아 국가 내에서 상대적으로 감염빈도가 높은 플라비바이러스로는 지카 바이러스, 뎅기 바이러스 및 일본뇌염 바이러스가 있다. 이들은 감염증상 및 치료방법이 다르기 때문에 정확한 구별진단이 요구되고 있지만, 아직까지 정확하게 구별 가능한 진단기술이 없다. 본 연구에서는 생물정보학 데이터베이스에 구축된 정보 및 분석도구를 바탕으로 플라비바이러스 구별 진단법에 대해 제안하였다. 3종 플라비바이러스의 면역진단을 위한 표적 단백질로는 외피단백질 및 비구조단백질 1을 선정하였으며, 이들의 아미노산 다중 서열 분석을 통해 상동성을 분석하였다. 이로부터 연속적 10-15개의 펩타이드로 구성된 항원결정기 후보를 선별하였으며, 면역원성 분석과 3차원 구조 예측을 통해 가장 유용한 항원결정기 2종을 제시하였다. 이는 아시아 국가 내에서 감염빈도가 높은 3종의 플라비바이러스의 구별진단을 위한 활용 가치가 높을 것으로 기대된다.

Keywords

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