| Registro completo |
| Provedor de dados: |
BJMBR
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| País: |
Brazil
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| Título: |
Homology modeling and epitope prediction of Der f 33
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| Autores: |
Teng,Feixiang
Sun,Jinxia
Yu,Lili
Li,Qisong
Cui,Yubao
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| Data: |
2018-01-01
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| Ano: |
2018
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| Palavras-chave: |
Der f 33
Homology modeling
B-cell epitope
T-cell epitope
Prediction
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| Resumo: |
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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| Tipo: |
Info:eu-repo/semantics/article
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| Idioma: |
Inglês
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| Identificador: |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2018000500601
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| Editor: |
Associação Brasileira de Divulgação Científica
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| Relação: |
10.1590/1414-431x20186213
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| Formato: |
text/html
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| Fonte: |
Brazilian Journal of Medical and Biological Research v.51 n.5 2018
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| Direitos: |
info:eu-repo/semantics/openAccess
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