In silico tools for exploring potential human allergy to proteins

Q3 Pharmacology, Toxicology and Pharmaceutics
Maria Hayes , Pierre Rougé , Annick Barre , Corinne Herouet-Guicheney , Erwin L. Roggen
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引用次数: 20

Abstract

Bioinformatics can help scientists to develop hypotheses about proteins that may need to be tested further for risks of causing allergy. In silico methodologies and tools like databases and comparison software, play an important role in the assessment of protein allergenicity and allergenicity mechanisms. They can identify whether a novel protein is an existing allergen and/or has the potential to cross-react with an existing allergen. They cannot identify whether a novel protein will ‘become’ an allergen. AllergenOnline is the tool currently used for the safety assessment of novel proteins, but other tools are also available including the Structural Database of Allergenic Proteins (SDAP) and AllerTOP. Information concerning PeptideRanker, as well as the Hydrophobic Cluster Analysis (HCA) method used for identifying IgE-binding epitopes in food allergens is discussed.

用于探索人类对蛋白质潜在过敏的计算机工具
生物信息学可以帮助科学家提出关于蛋白质的假设,这些假设可能需要进一步测试以确定引起过敏的风险。计算机方法和工具,如数据库和比较软件,在评估蛋白质过敏原和过敏原机制方面发挥着重要作用。它们可以识别新蛋白是否是现有的过敏原和/或是否有可能与现有的过敏原发生交叉反应。他们无法确定一种新的蛋白质是否会“变成”过敏原。AllergenOnline是目前用于新蛋白安全性评估的工具,但其他工具也可用,包括过敏原蛋白结构数据库(SDAP)和AllerTOP。讨论了有关PeptideRanker的信息,以及用于识别食物过敏原中ige结合表位的疏水聚类分析(HCA)方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Drug Discovery Today: Disease Models
Drug Discovery Today: Disease Models Pharmacology, Toxicology and Pharmaceutics-Drug Discovery
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期刊介绍: Drug Discovery Today: Disease Models discusses the non-human experimental models through which inference is drawn regarding the molecular aetiology and pathogenesis of human disease. It provides critical analysis and evaluation of which models can genuinely inform the research community about the direct process of human disease, those which may have value in basic toxicology, and those which are simply designed for effective expression and raw characterisation.
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