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Volume 8 Issue 1
Mar.  2017
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Article Navigation >  Journal of Tropical Biology  > 2017  >  8(1): 107-112

WANG Xiaozhe, XIAO Zhengpan, WEI Shuangshuang, WANG Dayong, PEI Yechun. Prediction of Eiptopes of the Major Allergen Blo t 5 from Blomia tropicalis by Using DNAStar Software[J]. Journal of Tropical Biology, 2017, 8(1): 107-112. doi: 10.15886/j.cnki.rdswxb.2017.01.017
Citation: WANG Xiaozhe, XIAO Zhengpan, WEI Shuangshuang, WANG Dayong, PEI Yechun. Prediction of Eiptopes of the Major Allergen Blo t 5 from Blomia tropicalis by Using DNAStar Software[J]. Journal of Tropical Biology, 2017, 8(1): 107-112. doi: 10.15886/j.cnki.rdswxb.2017.01.017
shu

Prediction of Eiptopes of the Major Allergen Blo t 5 from Blomia tropicalis by Using DNAStar Software

doi: 10.15886/j.cnki.rdswxb.2017.01.017

  • 1. College of Animal Science and Technology, Tropical Agriculture and Forestry College, Hainan University, Haikou, Hainan 570228, China;

  • 2. College of Biological Science, Tropical Agriculture and Forestry College, Hainan University, Haikou, Hainan 570228, China

  • Received Date: 2016-11-14
  • Rev Recd Date: 2016-12-13
  • The secondary structure and surface properties of Blo t 5 allergen from Blomia tropicalis,such as physical and chemical characters,hydrophilicity,surface probability,flexible regions and antigenicity,were analyzed by using the DNAStar Protean software to predict B-cell and T-cell epitopes of Blo t. 5. The secondary structure of Blo t 5 was rich in alpha helix,and the Blo t 5 contained six potential B cell epitopes located at 18-31,39-48,56-77,86-101,105-112,117-133 amino acid residues or nearby. There were seven potential T cell epitopes located at 32-37,40-44,57-65,70-79,86-95,100-104,115-120 amino acid residues or nearby. The epitopes of the major allergen Blo t 5 from B. tropicalis were predicted by using the Protean software.The results can provide a base for the studies of structure and function of the allergen Blo t 5,and development of preventive and therapeutic vaccines for Blomia tropicalis and diagnostic kits for detection of allergens induced by B. tropicalis.
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Prediction of Eiptopes of the Major Allergen Blo t 5 from Blomia tropicalis by Using DNAStar Software

doi: 10.15886/j.cnki.rdswxb.2017.01.017
  • 1. College of Animal Science and Technology, Tropical Agriculture and Forestry College, Hainan University, Haikou, Hainan 570228, China;
  • 2. College of Biological Science, Tropical Agriculture and Forestry College, Hainan University, Haikou, Hainan 570228, China
  • Received Date: 2016-11-14
  • Rev Recd Date: 2016-12-13

Abstract: The secondary structure and surface properties of Blo t 5 allergen from Blomia tropicalis,such as physical and chemical characters,hydrophilicity,surface probability,flexible regions and antigenicity,were analyzed by using the DNAStar Protean software to predict B-cell and T-cell epitopes of Blo t. 5. The secondary structure of Blo t 5 was rich in alpha helix,and the Blo t 5 contained six potential B cell epitopes located at 18-31,39-48,56-77,86-101,105-112,117-133 amino acid residues or nearby. There were seven potential T cell epitopes located at 32-37,40-44,57-65,70-79,86-95,100-104,115-120 amino acid residues or nearby. The epitopes of the major allergen Blo t 5 from B. tropicalis were predicted by using the Protean software.The results can provide a base for the studies of structure and function of the allergen Blo t 5,and development of preventive and therapeutic vaccines for Blomia tropicalis and diagnostic kits for detection of allergens induced by B. tropicalis.

WANG Xiaozhe, XIAO Zhengpan, WEI Shuangshuang, WANG Dayong, PEI Yechun. Prediction of Eiptopes of the Major Allergen Blo t 5 from Blomia tropicalis by Using DNAStar Software[J]. Journal of Tropical Biology, 2017, 8(1): 107-112. doi: 10.15886/j.cnki.rdswxb.2017.01.017
Citation: WANG Xiaozhe, XIAO Zhengpan, WEI Shuangshuang, WANG Dayong, PEI Yechun. Prediction of Eiptopes of the Major Allergen Blo t 5 from Blomia tropicalis by Using DNAStar Software[J]. Journal of Tropical Biology, 2017, 8(1): 107-112. doi: 10.15886/j.cnki.rdswxb.2017.01.017
shu

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