应用生物信息学方法筛选幽门螺杆菌疫苗候选抗原

目的：应用生物信息学分析方法筛选幽门螺杆菌新的疫苗候选抗原。方法：从TIGRCMR下载幽门螺杆菌26695和J99株全基因组序列,应用生物信息学SignalP、PredTMBB、LipoP、TMHMM、Phobius、PSORT-B和SubLoc等分析软件,筛选幽门螺杆菌新的外膜蛋白和分泌蛋白疫苗候选抗原。结果：从幽门螺杆菌26695株筛选得到54个编码β-桶型跨膜蛋白、脂蛋白或分泌表达蛋白的疫苗候选蛋白抗原,从幽门螺杆菌J99株得到61个呈现上述表达方式的疫苗候选蛋白抗原;且这2株细菌的疫苗候选蛋白呈现良好的交集状况,即有43个候选疫苗蛋白是相同的。结论：用生物信息学分析方法可以从全基因组范围内快速筛选到保守的分泌或表面暴露的疫苗候选抗原,为疫苗抗原的快速筛选与鉴定奠定了基础。

Screening Vaccine Candidate Antigens from Helicobacter pylori by Bioinformatics Methods

Objective： To predict and screen vaccine candidate antigens from Helicobacter pylori by bioinformatics methods. Methods： The complete genome sequences of two independent strains H.pylori 26695 and H.pylori J99 were downloaded from TIGR CMR. The bioinformaties analysis tools of SignalP, PredTMBB, LipoP, TMHMM, Phobius, PSORT-B and SubLoe were used to predict and screen surface exposed or secreted novel vaccine candidate antigens from H.pylori. Results： Fifty-four putative surface-exposed or secreted proteins have been theoretically predicted and screened from H.pylori 26695, sixty-one from H.pylori J99. Forty-three predicted candidate antigens were conserved in the two strains of H.pylori. Conclusion： The conserved and surface-exposed or secreted antigens from H.pylori could be predicted, which lays a foundation for rapid identification of vaccine protective antigens.