Journal of Convergence for Information Technology (융합정보논문지)

Convergence Society for SMB (중소기업융합학회)
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Prediction of HLA-A*0201-Restricted Antigenic Epitopes Targeting Multiple Myeloma

다발성 골수종 적용을 위한 HLA-A*0201 제한 항원성 펩타이드 예측

  • 강윤중 (중원대학교 의생명과학과)
  • Received : 2020.05.03
  • Accepted : 2020.06.20
  • Published : 2020.06.28
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Abstract

Protein antigens and their epitopes are targets for epitope based vaccines. There are many prediction servers which can be used for identification of binding peptides to MHC molecules. However, choosing of appropriate prediction servers is difficult. This study compared data obtained from prediction servers and evaluate them in scope of binding affinity to MHC-I molecules. Here we predicted HLA-A2-restricted cytotoxic T lymphocyte epitopes from survivin as a potential target for multiple myeloma. We suggest a procedure for prediction of antigenic peptides which could bind to MHC-I molecule. The results of this study will assist researchers in selection and prediction of noble antigenic peptides.

단백질 항원에 존재하는 에피토프는 에피토프를 기반으로 한 백신 개발의 표적이 되고 있다. 인간의 주조 직적합 복합체 (MHC-1)에 결합하는 펩타이드를 확인할 수 있는 여러 서버들이 보고되고 있으나 인간의 MHC-I 분자의 수가 매우 많고 각 서버 검색 방법의 표준화 부재 등의 문제로 인해 펩타이드 예측에 적절한 서버를 선정하는 것이 쉽지 않다. 본 논문에서는 MHC-I 결합 펩타이드를 예측하는 서버 30 종을 비교하였으며, 다발성 골수종에 적용하기 위해 survivin 단백질로부터 사람의 HLA-A2 제한 펩타이드를 예측하였다. 본 연구의 결과는 MHC-I 결합 예측의 표준화된 방법을 제시하고 펩타이드 에피토프를 예측하는데 도움을 줄 것이다.

Keywords

References

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