Bioinformatics Approaches for Analysing the Spatial Structure and B-cell Epitope of Eg14-3-3 Protein

Autor: Zhiwei Li, Meng Ting An, Jian Bing Ding, Hong Ying Wang, Xiao Zhao, Yu Jiao Li, Mamuti Wulamu, Feng Bo Zhang
Rok vydání: 2019
Předmět:
Zdroj: Procedia Computer Science. 154:715-720
ISSN: 1877-0509
DOI: 10.1016/j.procs.2019.06.111
Popis: Echinococcus granulosus (E. granulosus) is a small parasitic flat worm that would cause a zoonosis named Cystic echinococcosis (CE), which leads to a serious healthy and economic damage all over the world. To prevent the spread of the disease, the vaccine against E. granulosus has become one of the most effective strategies nowadays. According to the previous research, Eg14-3-3 protein is an important vaccine candidate antigen against E. granulosus. Therefore, serval bioinformatics approaches were used to analyze the spatial structure and linear B-cell epitopes of Eg14-3-3 protein. The composition of secondary structural is 68.42% alpha helix, 7.69% extended strand, 0.81% beta turn and 23.08% random coil. The Phyre2 server was selected to construct the tertiary structure of Eg14-3-3. The BCPREDS Server 1.0 and ABCpred Prediction Server were chosen to predict the linear B-cell epitope. Comparing the result of two software, there are 5 dominate epitopes occurred: 66-71, 76-81, 121-127, 131-144, 227-232. Through the spatial structure and B-cell epitopes prediction, this study provides theoretical basis for the future vaccine against E. granulosus.
Databáze: OpenAIRE