食物过敏原构象性表位预测技术研究进展

Progress on Conformational Epitope Prediction Technology for Food Allergens

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。

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.