摘要
福氏志贺菌外膜蛋白OmpA（outer membrane protein A）具有较强的免疫原性,在疫苗上有应用前景。采用MEGA（molecular evolutionary genetics analysis）软件对OmpA的系统发生分析显示,福氏志贺菌与肠道细菌间亲缘关系较其它菌属更近。利用在线软件预测OmpA为亲水的分泌型蛋白,存在多个酶切位点;采用TMHMM（transmembrane hidden markov models）Server v.2.0程序预测OmpA无跨膜结构并定位于细胞膜外;SOPMA（self-optimized prediction method with alignment）服务器预测OmpA二级结构中含无规则卷曲41.09%,α-螺旋26.44%,β-转角10.06%,β-片层22.41%。通过Signal P 4.1软件分析显示,OmpA的1~21位氨基酸为信号肽序列。采用SwissModel程序预测的三维模型显示OmpA为桶装结构。利用ABCpred（artificial neural network based B-cell epitope prediction）和Bepi Pred（B-cell epitopes prediction）方案,预测OmpA存在3个B细胞表位。运用神经网络与量化矩阵法预测OmpA具有1个CTL表位。使用MHC-Ⅱ类分子结合肽在线程序预测显示OmpA具有1个Th表位。设计获得抗原性较好的OmpA蛋白重组表位多肽。为OmpA多表位串联疫苗的研究奠定基础。
Shigella flexneri outer membrane protein A（ OmpA） has good immunogenicity for application prospect in vaccine development. In this paper,phylogenetic analysis found that Shigella flexneri and enteric bacterium relationship was higher than others by MEGA. By online software,the prediction results showed that OmpA protein is a hydrophilic and secreted protein,exists multiple restriction enzyme sites. Using TMHMM Server v. 2. 0 software predicted that OmpA has not transmembrane structure and locats outside cell membrane. OmpA secondary structure contains random coil helix 41. 09 %,alpha helix 26. 44 %,beta turn 10. 06 %,extended strand 22. 41 % by SOPMA method,respectively. Using the Signal P 4. 1 software analysis showed that the 1- 21 amino acids of OmpA are signal peptide sequence. The 3D structure prediction found that OmpA protein is barrel structure by Swiss-Model program. Using ABCpred and Bepi Pred prediction program,OmpA has 3 B cell epitopes. By the prediction method of quantitative matrix and artificinal neural network,OmpA protein has 1 CTL epitopes. OmpA protein has 1 Th epitopes using an online server prediction for MHC class Ⅱpeptide binding affinity. OmpA recombinant epitope peptide is designed with better immunogenicity. This paper would lay a foundation for the study of OmpA multiepitope tandem vaccine.
出处
《生物学杂志》
CAS
CSCD
2016年第3期99-103,共5页
Journal of Biology
基金
陕西省农业科技创新与攻关(2016NY-088)
