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COMPARE数据库:用于过敏原鉴定的公共资源,适用于持续改进。

The COMPARE Database: A Public Resource for Allergen Identification, Adapted for Continuous Improvement.

作者信息

van Ree Ronald, Sapiter Ballerda Dexter, Berin M Cecilia, Beuf Laurent, Chang Alexander, Gadermaier Gabriele, Guevera Paul A, Hoffmann-Sommergruber Karin, Islamovic Emir, Koski Liisa, Kough John, Ladics Gregory S, McClain Scott, McKillop Kyle A, Mitchell-Ryan Shermaine, Narrod Clare A, Pereira Mouriès Lucilia, Pettit Syril, Poulsen Lars K, Silvanovich Andre, Song Ping, Teuber Suzanne S, Bowman Christal

机构信息

Departments of Experimental Immunology and of Otorhinolaryngology, Amsterdam University Medical Centers, Amsterdam, Netherlands.

Joint Institute for Food Safety and Applied Nutrition (JIFSAN), University of Maryland, College Park, MD, United States.

出版信息

Front Allergy. 2021 Aug 6;2:700533. doi: 10.3389/falgy.2021.700533. eCollection 2021.

Abstract

The availability of databases identifying allergenic proteins via a transparent and consensus-based scientific approach is of prime importance to support the safety review of genetically-modified foods and feeds, and public safety in general. Over recent years, screening for potential new allergens sequences has become more complex due to the exponential increase of genomic sequence information. To address these challenges, an international collaborative scientific group coordinated by the Health and Environmental Sciences Institute (HESI), was tasked to develop a contemporary, adaptable, high-throughput process to build the prehensive rotein llergen source (COMPARE) database, a publicly accessible allergen sequence data resource along with bioinformatics analytical tools following guidelines of FAO/WHO and CODEX Alimentarius Commission. The COMPARE process is novel in that it involves the identification of candidate sequences via automated keyword-based sorting algorithm and manual curation of the annotated sequence entries retrieved from public protein sequence databases on a yearly basis; its process is meant for continuous improvement, with updates being transparently documented with each version; as a complementary approach, a yearly key-word based search of literature databases is added to identify new allergen sequences that were not (yet) submitted to protein databases; in addition, comments from the independent peer-review panel are posted on the website to increase transparency of decision making; finally, sequence comparison capabilities associated with the COMPARE database was developed to evaluate the potential allergenicity of proteins, based on internationally recognized guidelines, FAO/WHO and CODEX Alimentarius Commission.

摘要

通过透明且基于共识的科学方法识别致敏蛋白的数据库,对于支持转基因食品和饲料的安全性审查以及总体公共安全至关重要。近年来,由于基因组序列信息呈指数级增长,筛选潜在的新过敏原序列变得更加复杂。为应对这些挑战,由健康与环境科学研究所(HESI)协调的一个国际合作科学小组,负责开发一个当代的、适应性强的、高通量的流程,以建立综合蛋白过敏原源(COMPARE)数据库,这是一个可公开访问的过敏原序列数据资源,并按照粮农组织/世卫组织和食品法典委员会的指导方针配备生物信息学分析工具。COMPARE流程的新颖之处在于,它通过基于关键词的自动分类算法识别候选序列,并每年对从公共蛋白质序列数据库中检索到的注释序列条目进行人工筛选;其流程旨在持续改进,每次更新都有透明的记录;作为一种补充方法,可以每年对文献数据库进行基于关键词的搜索,以识别尚未提交到蛋白质数据库的新过敏原序列;此外,独立同行评审小组的意见会发布在网站上,以提高决策的透明度;最后,基于粮农组织/世卫组织和食品法典委员会等国际认可的指导方针,开发了与COMPARE数据库相关的序列比较功能,以评估蛋白质的潜在致敏性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/560d/8974746/2219bca14d62/falgy-02-700533-g0001.jpg

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