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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Associação Brasileira de Divulgação Científica
2018
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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. |
format | Online Article Text |
id | pubmed-5875910 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Associação Brasileira de Divulgação Científica |
record_format | MEDLINE/PubMed |
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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