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计算机预测病原分枝杆菌共同表位。

In silico identification of common epitopes from pathogenic mycobacteria.

机构信息

Finlay Institute, Ave. 27, No. 19805, La Lisa, La Habana, Cuba.

出版信息

BMC Immunol. 2013;14 Suppl 1(Suppl 1):S6. doi: 10.1186/1471-2172-14-S1-S6. Epub 2013 Feb 25.

Abstract

An in silico study was carried out to identify antigens for their possible collective use as vaccine candidates against diseases caused by different classes of pathogenic mycobacteria with significant clinical relevance. The genome sequences of the relevant causative agents were used in order to search for orthologous genes among them. Bioinformatics tools permitted us to identify several conserved sequences with 100% identity with no possibility of cross-reactivity to the normal flora and human proteins. Nine different proteins were characterized using the strain H37Rv as reference and taking into account their functional category, their in vivo expression and subcellular location. T and B cell epitopes were identified in the selected sequences. Theoretical prediction of population coverage was calculated for individual epitopes as well as their combinations. Several identical sequences, belonging to six proteins containing T and B cell epitopes which are not present in selected microorganisms of the normal microbial flora or in human proteins were obtained.

摘要

进行了一项计算机研究,以鉴定抗原,将它们可能作为疫苗候选物用于针对具有重要临床相关性的不同类致病性分枝杆菌引起的疾病。使用相关病原体的基因组序列在它们之间搜索同源基因。生物信息学工具使我们能够识别出具有 100%同一性且不可能与正常菌群和人类蛋白质发生交叉反应的几个保守序列。使用 H37Rv 株作为参考,根据其功能类别、体内表达和亚细胞定位,对 9 种不同的蛋白质进行了表征。在选定的序列中鉴定了 T 细胞和 B 细胞表位。针对个体表位及其组合计算了人群覆盖率的理论预测。获得了几个相同的序列,这些序列属于含有 T 细胞和 B 细胞表位的 6 种蛋白质,这些表位不存在于正常微生物菌群或人类蛋白质中选定的微生物中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/941d/3582421/616845db5d61/1471-2172-14-S1-S6-1.jpg

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