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Homology modeling and epitope prediction of Der f 33
- 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