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Bioinformatic prediction of the epitopes of Echinococcus granulosus antigen 5

The aim of the present study was to predict and analyze the secondary structure, and B and T cell epitopes of Echinococcus granulosus antigen 5 (Ag5) using online software in order to investigate its immunogenicity and preliminarily evaluate its potential as an effective antigen peptide vaccine for...

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Autores principales: Pan, Wei, Chen, De-Sheng, Lu, Yun-Juan, Sun, Fen-Fen, Xu, Hui-Wen, Zhang, Ya-Wen, Yan, Chao, Fu, Lin-Lin, Zheng, Kui-Yang, Tang, Ren-Xian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5351307/
https://www.ncbi.nlm.nih.gov/pubmed/28357070
http://dx.doi.org/10.3892/br.2016.827
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author Pan, Wei
Chen, De-Sheng
Lu, Yun-Juan
Sun, Fen-Fen
Xu, Hui-Wen
Zhang, Ya-Wen
Yan, Chao
Fu, Lin-Lin
Zheng, Kui-Yang
Tang, Ren-Xian
author_facet Pan, Wei
Chen, De-Sheng
Lu, Yun-Juan
Sun, Fen-Fen
Xu, Hui-Wen
Zhang, Ya-Wen
Yan, Chao
Fu, Lin-Lin
Zheng, Kui-Yang
Tang, Ren-Xian
author_sort Pan, Wei
collection PubMed
description The aim of the present study was to predict and analyze the secondary structure, and B and T cell epitopes of Echinococcus granulosus antigen 5 (Ag5) using online software in order to investigate its immunogenicity and preliminarily evaluate its potential as an effective antigen peptide vaccine for cystic echinococcosis. The PortParam program was used to analyze molecular weight, the theoretical isoelectric point, instability index and other physicochemical properties. The secondary structure of the Ag5 protein was predicted using Self-Optimized Prediction method With Alignment and the tertiary structure of the Ag5 protein was predicted using 3DLigandSite together with Center for Biological Sequence Analysis Prediction Servers. Furthermore, the Immune Epitope Database software was used to predict B cell epitopes, and T cell epitopes were predicted with the BioInformatics and Molecular Analysis Section and SYFPEITHI programs. The results demonstrated that α-helixes, β-turns, random coils and extended strands account for 23.35, 10.95, 41.32, and 24.38% of the secondary structure of the Ag5 protein, respectively. Ten potential B cell epitopes of Ag5 were identified as the amino acids sequences 27–39, 70–80, 117–130, 146–168, 250–262, 284–293, 339–349, 359–371, 403–412 and 454–462, and seven potential T cell epitopes were identified as the amino acid sequences 52–60, 57–65, 182–190, 231–239, 273–281, 318–326 and 467–475. Thus, ten B cell epitopes and seven T cell epitopes were identified on Ag5, suggesting the strong immunogenicity of this protein, which could be applied to design antigen peptide vaccines for echinococcosis.
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spelling pubmed-53513072017-03-29 Bioinformatic prediction of the epitopes of Echinococcus granulosus antigen 5 Pan, Wei Chen, De-Sheng Lu, Yun-Juan Sun, Fen-Fen Xu, Hui-Wen Zhang, Ya-Wen Yan, Chao Fu, Lin-Lin Zheng, Kui-Yang Tang, Ren-Xian Biomed Rep Articles The aim of the present study was to predict and analyze the secondary structure, and B and T cell epitopes of Echinococcus granulosus antigen 5 (Ag5) using online software in order to investigate its immunogenicity and preliminarily evaluate its potential as an effective antigen peptide vaccine for cystic echinococcosis. The PortParam program was used to analyze molecular weight, the theoretical isoelectric point, instability index and other physicochemical properties. The secondary structure of the Ag5 protein was predicted using Self-Optimized Prediction method With Alignment and the tertiary structure of the Ag5 protein was predicted using 3DLigandSite together with Center for Biological Sequence Analysis Prediction Servers. Furthermore, the Immune Epitope Database software was used to predict B cell epitopes, and T cell epitopes were predicted with the BioInformatics and Molecular Analysis Section and SYFPEITHI programs. The results demonstrated that α-helixes, β-turns, random coils and extended strands account for 23.35, 10.95, 41.32, and 24.38% of the secondary structure of the Ag5 protein, respectively. Ten potential B cell epitopes of Ag5 were identified as the amino acids sequences 27–39, 70–80, 117–130, 146–168, 250–262, 284–293, 339–349, 359–371, 403–412 and 454–462, and seven potential T cell epitopes were identified as the amino acid sequences 52–60, 57–65, 182–190, 231–239, 273–281, 318–326 and 467–475. Thus, ten B cell epitopes and seven T cell epitopes were identified on Ag5, suggesting the strong immunogenicity of this protein, which could be applied to design antigen peptide vaccines for echinococcosis. D.A. Spandidos 2017-02 2016-12-09 /pmc/articles/PMC5351307/ /pubmed/28357070 http://dx.doi.org/10.3892/br.2016.827 Text en Copyright: © Pan et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Pan, Wei
Chen, De-Sheng
Lu, Yun-Juan
Sun, Fen-Fen
Xu, Hui-Wen
Zhang, Ya-Wen
Yan, Chao
Fu, Lin-Lin
Zheng, Kui-Yang
Tang, Ren-Xian
Bioinformatic prediction of the epitopes of Echinococcus granulosus antigen 5
title Bioinformatic prediction of the epitopes of Echinococcus granulosus antigen 5
title_full Bioinformatic prediction of the epitopes of Echinococcus granulosus antigen 5
title_fullStr Bioinformatic prediction of the epitopes of Echinococcus granulosus antigen 5
title_full_unstemmed Bioinformatic prediction of the epitopes of Echinococcus granulosus antigen 5
title_short Bioinformatic prediction of the epitopes of Echinococcus granulosus antigen 5
title_sort bioinformatic prediction of the epitopes of echinococcus granulosus antigen 5
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5351307/
https://www.ncbi.nlm.nih.gov/pubmed/28357070
http://dx.doi.org/10.3892/br.2016.827
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