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Practical and predictive bioinformatics methods for the identification of potentially cross-reactive protein matches

机译:实用和预测的生物信息学方法 鉴定潜在的交叉反应蛋白匹配

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摘要

A bioinformatics comparison of proteins introduced into food crops through genetic engineering provides a mechanism to identify those proteins that may present an increased risk of allergic reactions for individuals with existing allergies. The goal is to identify proteins that are known to be allergens or are so similar to an allergen that they may induce allergic cross-reactions. Three comparative approaches have traditionally been used, or considered for safety evaluations. One identifies any short (6–8) amino acid segment of the protein that exactly matches a known allergen sequence. The second is an overall primary sequence comparison using Basic Local Alignment Search Tool (BLAST) or FASTA to find matches of greater than 35% identity over 80 amino acids. The third is based on 3-D prediction programs to identify 3-D similarities that might predict potential cross-reactivity. The utility of each of these approaches was debated in the bioinformatics workshop. The consensus agreement from the expert workshop participants was that the short-segment match (e.g., 6–8 amino acids) provides an unacceptably high rate of false positive matches and an uncertain rate of true positive matches, and was not particularly useful for an allergenicity evaluation performed in the context of comprehensive safety evaluation. There was no consensus regarding the most appropriate bioinformatics method, an acceptable scoring criteria for triggering closer examination subsequent to a positive match, or an acceptable scoring mechanism for ranking the utility of the various 3-D approaches that were discussed during the workshop. However, the general consensus was that the most practical approach at this time is to evaluate primary sequence identities to known allergens using either FASTA or BLAST. While there was good agreement that identities of greater than 35% over 80 or more amino acids (recommended by Codex in 2003) is quite conservative, the conclusion was that additional data or studies would be needed to justify changing this criterion as there is some evidence that some individuals sensitized to proteins in evolutionarily conserved protein families may experience cross-reactions to proteins sharing approximately 40% identity.
机译:对通过基因工程引入粮食作物的蛋白质进行的生物信息学比较提供了一种机制,可以识别那些可能对患有现有过敏症的人造成过敏反应风险增加的蛋白质。目的是鉴定已知是过敏原或与过敏原非常相似的蛋白质,以至于它们可能诱发过敏性交叉反应。传统上已使用或考虑了三种比较方法进行安全性评估。可以识别出与已知过敏原序列完全匹配的蛋白质的任何短(6-8)个氨基酸区段。第二个是使用基本局部比对搜索工具(BLAST)或FASTA进行的总体一级序列比较,以发现在80个氨基酸上的同一性大于35%的匹配。第三个基于3-D预测程序,以识别可能预测潜在交叉反应性的3-D相似性。在生物信息学研讨会上讨论了每种方法的效用。专家研讨会参与者的共识是,短片段匹配(例如6-8个氨基酸)提供了高得无法接受的假阳性匹配率和不确定的真实阳性匹配率,并且对于变应原性并不是特别有用在全面安全评估的背景下进行评估。对于最合适的生物信息学方法,在肯定的比赛之后触发更严格检查的可接受评分标准,或对研讨会期间讨论的各种3-D方法效用进行排名的可接受评分机制,目前尚无共识。但是,普遍的共识是,此时最实用的方法是使用FASTA或BLAST评估与已知过敏原的一级序列同一性。尽管人们普遍认为,超过80个或更多氨基酸的35%以上的身份是很保守的(结论是食典委在2003年提出),但结论是,由于有一些证据,需要更多的数据或研究来证明改变这一标准是合理的。一些对进化保守的蛋白质家族中的蛋白质敏感的个体可能会与共享大约40%同一性的蛋白质发生交叉反应。

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    Goodman, Richard E;

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  • 年度 2006
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