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从GOLD基因组在线数据库中下载志贺氏菌S.flexneri2a301、S.flexneri5b8401和S.sonneiSs046株的全基因组序列,通过SignalP、PSORT-B、Cell-Ploc、TMHMM、Phobius、LipoP和PRED-TMBB等生物信息学工具,筛选可能成为疫苗组份的表面抗原。结果分别从3株志贺氏菌的全基因组中得到了96、158和107个ORF,它们分别编码一系列的脂蛋白、β-桶型跨膜蛋白或分泌性蛋白,组成了一个疫苗候选抗原的信息库。上述ORF编码的蛋白在3株志贺氏菌中呈现良好的同源性,有63种候选抗原在同源性分析中被发现同时存在于3株志贺氏菌中。说明生物信息学方法可以作为高通量筛选志贺氏菌疫苗候选抗原的辅助工具,且为志贺氏菌新疫苗研制提供了大量有用的数据信息。
The whole genome sequence of Shigella sflexneri2a301, S.flexneri5b8401 and S.sonneiSs046 strains was downloaded from the GOLD genome online database and analyzed by bioinformatics tools such as SignalP, PSORT-B, Cell-Ploc, TMHMM, Phobius, LipoP and PRED-TMBB Informatics tools to screen for surface antigens that could become vaccine components. Results 96, 158 and 107 ORFs were obtained from the genomes of 3 strains of Shigella respectively encoding a series of lipoproteins, β-barrel transmembrane proteins or secreted proteins, constituting a vaccine candidate antigen Information base The ORF-encoded protein showed good homology in three strains of Shigella, and 63 candidate antigens were found in three strains of Shigella simultaneously in the homology analysis. Bioinformatics methods can be used as a high-throughput screening of Shigella vaccine candidate antigen ancillary tools, and for the development of new Shigella vaccine provides a wealth of useful information.