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Homology modeling and epitope prediction of Der f 33

Dermatophagoides farinae (Der f), one of the main species of house dust mites, produces more than 30 allergens. A recently identified allergen belonging to the alpha-tubulin protein family, Der f 33, has not been characterized in detail. In this study, we used bioinformatics tools to construct the s...

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Detalles Bibliográficos
Autores principales: Teng, Feixiang, Sun, Jinxia, Yu, Lili, Li, Qisong, Cui, Yubao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Associação Brasileira de Divulgação Científica 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5875910/
https://www.ncbi.nlm.nih.gov/pubmed/29561952
http://dx.doi.org/10.1590/1414-431X20186213
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author Teng, Feixiang
Sun, Jinxia
Yu, Lili
Li, Qisong
Cui, Yubao
author_facet Teng, Feixiang
Sun, Jinxia
Yu, Lili
Li, Qisong
Cui, Yubao
author_sort Teng, Feixiang
collection PubMed
description Dermatophagoides farinae (Der f), one of the main species of house dust mites, produces more than 30 allergens. A recently identified allergen belonging to the alpha-tubulin protein family, Der f 33, has not been characterized in detail. In this study, we used bioinformatics tools to construct the secondary and tertiary structures and predict the B and T cell epitopes of Der f 33. First, protein attribution, protein patterns, and physicochemical properties were predicted. Then, a reasonable tertiary structure was constructed by homology modeling. In addition, six B cell epitopes (amino acid positions 34–45, 63–67, 103–108, 224–230, 308–316, and 365–377) and four T cell epitopes (positions 178–186, 241–249, 335–343, and 402–410) were predicted. These results established a theoretical basis for further studies and eventual epitope-based vaccine design against Der f 33.
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spelling pubmed-58759102018-04-06 Homology modeling and epitope prediction of Der f 33 Teng, Feixiang Sun, Jinxia Yu, Lili Li, Qisong Cui, Yubao Braz J Med Biol Res Research Articles Dermatophagoides farinae (Der f), one of the main species of house dust mites, produces more than 30 allergens. A recently identified allergen belonging to the alpha-tubulin protein family, Der f 33, has not been characterized in detail. In this study, we used bioinformatics tools to construct the secondary and tertiary structures and predict the B and T cell epitopes of Der f 33. First, protein attribution, protein patterns, and physicochemical properties were predicted. Then, a reasonable tertiary structure was constructed by homology modeling. In addition, six B cell epitopes (amino acid positions 34–45, 63–67, 103–108, 224–230, 308–316, and 365–377) and four T cell epitopes (positions 178–186, 241–249, 335–343, and 402–410) were predicted. These results established a theoretical basis for further studies and eventual epitope-based vaccine design against Der f 33. Associação Brasileira de Divulgação Científica 2018-03-15 /pmc/articles/PMC5875910/ /pubmed/29561952 http://dx.doi.org/10.1590/1414-431X20186213 Text en https://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Teng, Feixiang
Sun, Jinxia
Yu, Lili
Li, Qisong
Cui, Yubao
Homology modeling and epitope prediction of Der f 33
title Homology modeling and epitope prediction of Der f 33
title_full Homology modeling and epitope prediction of Der f 33
title_fullStr Homology modeling and epitope prediction of Der f 33
title_full_unstemmed Homology modeling and epitope prediction of Der f 33
title_short Homology modeling and epitope prediction of Der f 33
title_sort homology modeling and epitope prediction of der f 33
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5875910/
https://www.ncbi.nlm.nih.gov/pubmed/29561952
http://dx.doi.org/10.1590/1414-431X20186213
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