用计算机程序预测可与HLA－A2分子结合的HCV抗原肽

Prediction of Hepatitis C Virus Peptides Binding to HLA-A2Molecule Using Computer

本文设计了一个具有查找ＨＬＡ分子结合多肽功能的“Ｆｉｎｄｉｎｇｅｐｉｔｏｐｅ”程序，并针对ＨＬＡ－Ａ２分子特异的多肽结合基序（ｐｅｐｔｉｄｅｂｉｎｄｉｎｇｍｏｔｉｆ）建立了一个计算机评分系统。对ＨＣＶ１型丙型肝炎病毒株中的ＨＣＶ－１和ＨＣＶ－Ｈ两条氨基酸序列分析后发现，报道的ＨＩ－Ａ－Ａ２分子结合的ＨＣＶ抗原均包含于查找的结果中，且绝大多数（１１／１２）评分≥１４４分。提示该程序可作为一种较为灵敏的能预测与ＨＬＡ－Ａ２分子结合的ＨＣＶ抗原的方法。

A 'Finding epitope'programme with the function of searching short peptides was written and a computer scoring programme deduced from the HLA-A2 specific peptide binding motif was developed. Analysis of the two hepatitis C virus(HCV-1 and HCV-H)amino-acid sequences showed that the forecasting results included all the 12 reported HCV antigenic peptides binding to HLA-A2 molecule. According to the scoring system, out of the 12 reported HCV antigenic peptides, 11 peptides were with high score (≥144). It indicates that our programme is a sensitive system to predict the HCV peptides binding to HLA-A2 molecule.