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Homology modeling and epitope prediction of Der f 33

Authors :
Feixiang Teng
Jinxia Sun
Lili Yu
Qisong Li
Yubao Cui
Source :
Brazilian Journal of Medical and Biological Research, Vol 51, Iss 5 (2018)
Publication Year :
2018
Publisher :
Associação Brasileira de Divulgação Científica, 2018.

Abstract

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.

Details

Language :
English
ISSN :
1414431X and 1414431x
Volume :
51
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Brazilian Journal of Medical and Biological Research
Publication Type :
Academic Journal
Accession number :
edsdoj.3c2e32dd3b86420eb5b974ec47f67ea6
Document Type :
article
Full Text :
https://doi.org/10.1590/1414-431x20186213