食品科学

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食物过敏原构象性表位预测技术研究进展

何圣发1,陈红兵1,2,武 涌1,李 欣1,3,佟 平1,3,高金燕3,*   

  1. 1.南昌大学 食品科学与技术国家重点实验室,江西 南昌 330047;2.南昌大学中德联合研究院,江西 南昌 330047;
    3.南昌大学生命科学与食品工程学院食品系,江西 南昌 330047
  • 出版日期:2013-07-15 发布日期:2013-06-28
  • 通讯作者: 高金燕
  • 基金资助:

    国家国际科技合作专项(2013DFG31380);国家“863”计划项目(2013AA102205);
    “十二五”国家科技支撑计划项目(2011BAK10B03);国家自然科学基金项目(21162019);
    南昌大学食品科学与技术国家重点实验室项目(SKLF-ZZA- 201302;SKLF-ZZB-201302)

Progress on Conformational Epitope Prediction Technology for Food Allergens

何圣发1,陈红兵1,2,武 涌1,李 欣1,3,佟 平1,3,高金燕3,*   

  1. 1. State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China;2. Sino-German Joint
    Research Institute, Nanchang University, Nanchang 330047, China;3. Department of Food Science, School of Life Sciences and
    Food Engineering, Nanchang University, Nanchang 330047, China
  • Online:2013-07-15 Published:2013-06-28
  • Contact: GAO Jin-yan

摘要:

食物过敏原构象性表位的预测是过敏原研究的重要任务之一。目前构象性表位预测的方法主要包括基于氨 基酸性质预测构象性表位,该方法单独应用较少,常与其他技术相结合使用;基于蛋白质一级结构预测构象性表 位,该方法目前还不成熟,有待研究;基于蛋白质三级结构预测构象性表位,操作简单易行,但不能针对某个表位 进行预测;利用噬菌体展示技术结合各种生物信息软件预测构象性表位,能快速地对目标表位进行预测,应用前景 广阔。总之,表位预测具有工作简单、易操作、速度快及经济价廉等特点,具有重要的应用价值。

关键词: 食物过敏, 构象性表位, 表位预测

Abstract:

Conformational epitope prediction of food allergens is one of the important aspects of allergen research.
Currently, there are four major kinds of prediction tools mainly including 1) Epitope prediction based on amino acid
properties of allergens. It was often used combined with other tools; 2) Epitope prediction based on protein primary structure
which is still being improved; 3) Epitope prediction based on using protein tertiary structure .It is easy to use and reliable,
but it can not predict an target epitope; 4) Epitope prediction based on combining phage display technology with various
biological information softwares. It can prediction the target epitope quickly and has a broad prospect. Thus, this method of
epitope prediction is easy, time-saving and economical. It plays a very important role in practical use.

Key words: food allergy, comformational epitope, epitope prediction

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