Regulatory and Stewardship, Corteva Agriscience, Indianapolis, Indiana, USA.
GM Crops Food. 2022 Dec 31;13(1):112-118. doi: 10.1080/21645698.2022.2079180.
The comprehensiveness of the allergen database used to bioinformatically compare a novel food protein with known allergens is critical to the ability to assess the allergenic risk of newly expressed proteins in genetically engineered crops. The strength of the relationship between a candidate GE protein's amino acid sequence and that of known allergens is used to predict cross-reactive risk. The number of truly novel allergen sequences added annually to the COMPARE database reflects on the comprehensiveness of our knowledge of allergen amino acid sequence diversity. Here, we investigated the most recent five years of updates to the COMPARE allergen database for truly novel entries. Results indicate that few truly novel sequences are added each year, suggesting that the database and our knowledge of allergen sequence diversity is currently quite comprehensive, and that current in silico prediction of allergenic risk for novel food proteins is robust.
用于生物信息学比较新型食品蛋白与已知过敏原的过敏原数据库的全面性，对于评估基因工程作物中新型表达蛋白的致敏风险至关重要。候选基因工程蛋白的氨基酸序列与已知过敏原之间的关系强度，用于预测交叉反应风险。每年添加到 COMPARE 数据库中的真正新型过敏原序列数量，反映了我们对过敏原氨基酸序列多样性的认识程度。在这里，我们研究了 COMPARE 过敏原数据库最近五年的更新情况，以了解真正新型过敏原的录入情况。结果表明，每年添加的真正新型序列很少，这表明该数据库和我们对过敏原序列多样性的认识目前已经相当全面，并且当前对新型食品蛋白的致敏风险的计算机预测是可靠的。
