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In silico characterization of Echinococcus granulosus paramyosin nucleotide sequence for the development of epitope vaccine against cystic echinococcosis

Open Access
|Nov 2017

Abstract

The paramyosin (Pmy) protein has been presented as a potential vaccine candidate against Schistosoma spp. However, it remains elusive whether it works in controlling cystic echinococcosis (CE), which is caused by the larval stages of Echinococcus granulosus (E. granulosus). This study investigated the characteristics of E. granulosus Pmy (EgPmy) using in silico analysis and evaluated its potential as an epitope vaccine. The secondary structure was predicted by SOPMA software and linear B-cell epitopes were screened by the Kolaskar and Tongaonkar’s method on IEBD while conformational B-cell epitopes were predicted by the Ellipro. Additionally, the epitopes of cytotoxic T lymphocyte (CTL) were analyzed by the NetCTL-1.2 server. The results showed that α-helices, extended strands, random coils and β-turns accounted for 84.82 %, 6.60 %, 5.56 % and 3.01 % in EgPmy’s secondary structure, respectively. A total of 29 linear B-cell epitopes and 6 conformational epitopes were identified together with 25 CTL epitopes. The CTL epitope 709KLEEAEAFA717 showed a high potential to elicit CTL response. These results suggested that EgPmy has a strong immunogenicity, which could serve as a reference for the development of EgPmy-based epitope vaccine against CE.

DOI: https://doi.org/10.1515/helm-2017-0041 | Journal eISSN: 1336-9083 | Journal ISSN: 0440-6605
Language: English
Page range: 275 - 283
Submitted on: Nov 30, 2016
Accepted on: Jun 29, 2017
Published on: Nov 1, 2017
Published by: Slovak Academy of Sciences, Mathematical Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year

© 2017 Y.-J. Lu, D.-Sh. Chen, W.-T. Hao, H.-W. Xu, Y.-W. Zhang, F.-F. Sun, W. Pan, published by Slovak Academy of Sciences, Mathematical Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.