食品科学

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生物信息学技术在食物过敏原表位预测中的应用

龙 伟,李 欣,高金燕,陈红兵   

  1. 1.南昌大学生命科学与食品工程学院食品系,江西 南昌 330047;2.南昌大学 食品科学与技术国家重点实验室,
    江西 南昌 330047;3.南昌大学中德联合研究院,江西 南昌 330047
  • 出版日期:2014-02-13 发布日期:2014-03-17

Application of Bioinformatics Technology in Prediction of Food Allergen Epitopes

LONG Wei, LI Xin, GAO Jin-yan, CHEN Hong-bing   

  1. 1. Department of Food Science, College of Life Sciences and Food Engineering, Nanchang University, Nanchang 330047, China;
    2. State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China; 3. Sino-German Joint
    Research Institute, Nanchang University, Nanchang 330047, China
  • Online:2014-02-13 Published:2014-03-17

摘要:

表位是过敏原与抗体结合的物质基础。基于生物信息学技术的表位预测包括线性表位预测和构象性表位预测。其中线性表位预测主要是基于过敏原蛋白的理化性质进行预测;构象性表位预测主要包括基于蛋白结构信息和结合噬菌体展示技术的两大类预测。利用生物信息学技术预测食物过敏原表位主要应用在牛乳、鸡蛋、鱼、甲壳类水产动物等动物性食物过敏原和花生、大豆、小麦、果蔬类等植物性食物过敏原方面。

关键词: 生物信息学, 食物过敏原, 表位预测

Abstract:

Epitopes are the material basis of reactions between allergens and antibodies. Bioinformatics can provide a basis
for the prediction of both linear epitopes and conformational epitopes. The prediction of linear epitopes is based on the
physicochemical properties of the allergenic protein. The prediction of conformational epitopes is based on protein structural
information in combination with phage display technology. The epitope prediction based on bioinformatics is mainly applied
on animal-derived food allergens, such as milk, eggs, fish and crustaceans as well as on plant-derived food allergens, such as
peanuts, soybeans, wheat and vegetables.

Key words: bioinformatics, food allergy, epitope prediction