Allergenicity prediction by protein sequence
Allergenicity prediction by protein sequence
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DOI：
10.1096/fj.02-1052fje
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发表时间：
2003-04-01
期刊：
影响因子：
4.8
通讯作者：
Stadler, BM
中科院分区：
文献类型：
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作者：
Stadler, MB;Stadler, BM
在将转基因蛋白质引入食物链之前，必须调查其潜在的过敏性。一个先决条件是序列分析。我们已经严格审查了由联合国粮食及农业组织（FAO）和世界卫生组织（WHO）提出的基于蛋白质序列的变应原性预测的现行指南的性能，并表明其精度很低。为了提高预测，我们提出了一个新的战略的基础上确定的序列基序从一个新的过敏原数据库。如果测试随机测试序列和已知的过敏原，这两种方法显然是非常敏感的。然而，我们基于基序的预测的精确度（95.5%）上级当前方法（36.6%）。我们的结论是，建议的基序为基础的预测是一个上级替代目前的方法，用于决策树的方法过敏性评估。
Potential allergenicity of transgenic proteins for consumption must be investigated before their introduction into the food chain. A prerequisite is sequence analysis. We have critically reviewed the performance of the current guidelines proposed by the Food and Agriculture Organization (FAO) and the World Health Organization (WHO) for allergenicity prediction based on protein sequence and show that its precision is very low. To improve prediction, we propose a new strategy based on sequence motifs identified from a new allergen database. If tested on random test sequences and known allergens, both methods are apparently very sensitive. However, the precision of our motif-based prediction (95.5%) is superior to the current method (36.6%). We conclude that the proposed motif-based prediction is a superior alternative to the current method for use in the decision-tree approach for allergenicity assessment.