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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。
Objective: To screen for a new vaccine candidate antigen of Helicobacter pylori using bioinformatics analysis method. METHODS: The complete genome sequences of Helicobacter pylori 26695 and J99 strains were downloaded from TIGRCMR. The new outer membrane proteins of Helicobacter pylori and their secretion were screened by bioinformatics softwares SignalP, PredTMBB, LipoP, TMHMM, Phobius, PSORT-B and SubLoc. Protein Vaccine Candidate Antigen. Results: Fifty-four vaccine candidate proteins encoding β-barrel transmembrane protein, lipoprotein or secreted protein were screened from Helicobacter pylori strain 26695 and 61 candidate vaccine proteins expressing the above expression pattern were obtained from Helicobacter pylori strain J99 Antigen. The vaccine candidate proteins of these two strains showed a good intersection, that is, 43 candidate vaccine proteins were the same. CONCLUSION: Bioinformatics analysis can be used to rapidly screen the conservative secreted or surface-exposed vaccine candidate antigens from the whole genome, which lays the foundation for the rapid screening and identification of vaccine antigens.