{"title":"全面的COMPARE数据库降低了新型食物蛋白的致敏风险。","authors":"Rod A Herman, Ping Song","doi":"10.1080/21645698.2022.2079180","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":54282,"journal":{"name":"Gm Crops & Food-Biotechnology in Agriculture and the Food Chain","volume":"13 1","pages":"112-118"},"PeriodicalIF":4.5000,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/f8/73/KGMC_13_2079180.PMC9196780.pdf","citationCount":"1","resultStr":"{\"title\":\"Comprehensive COMPARE database reduces allergenic risk of novel food proteins.\",\"authors\":\"Rod A Herman, Ping Song\",\"doi\":\"10.1080/21645698.2022.2079180\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":54282,\"journal\":{\"name\":\"Gm Crops & Food-Biotechnology in Agriculture and the Food Chain\",\"volume\":\"13 1\",\"pages\":\"112-118\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2022-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/f8/73/KGMC_13_2079180.PMC9196780.pdf\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Gm Crops & Food-Biotechnology in Agriculture and the Food Chain\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/21645698.2022.2079180\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gm Crops & Food-Biotechnology in Agriculture and the Food Chain","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/21645698.2022.2079180","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
Comprehensive COMPARE database reduces allergenic risk of novel food proteins.
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.
期刊介绍：
GM Crops & Food - Biotechnology in Agriculture and the Food Chain aims to publish high quality research papers, reviews, and commentaries on a wide range of topics involving genetically modified (GM) crops in agriculture and genetically modified food. The journal provides a platform for research papers addressing fundamental questions in the development, testing, and application of transgenic crops. The journal further covers topics relating to socio-economic issues, commercialization, trade and societal issues. GM Crops & Food aims to provide an international forum on all issues related to GM crops, especially toward meaningful communication between scientists and policy-makers.
GM Crops & Food will publish relevant and high-impact original research with a special focus on novelty-driven studies with the potential for application. The journal also publishes authoritative review articles on current research and policy initiatives, and commentary on broad perspectives regarding genetically modified crops. The journal serves a wide readership including scientists, breeders, and policy-makers, as well as a wider community of readers (educators, policy makers, scholars, science writers and students) interested in agriculture, medicine, biotechnology, investment, and technology transfer.
Topics covered include, but are not limited to:
• Production and analysis of transgenic crops
• Gene insertion studies
• Gene silencing
• Factors affecting gene expression
• Post-translational analysis
• Molecular farming
• Field trial analysis
• Commercialization of modified crops
• Safety and regulatory affairs
BIOLOGICAL SCIENCE AND TECHNOLOGY
• Biofuels
• Data from field trials
• Development of transformation technology
• Elimination of pollutants (Bioremediation)
• Gene silencing mechanisms
• Genome Editing
• Herbicide resistance
• Molecular farming
• Pest resistance
• Plant reproduction (e.g., male sterility, hybrid breeding, apomixis)
• Plants with altered composition
• Tolerance to abiotic stress
• Transgenesis in agriculture
• Biofortification and nutrients improvement
• Genomic, proteomic and bioinformatics methods used for developing GM cops
ECONOMIC, POLITICAL AND SOCIAL ISSUES
• Commercialization
• Consumer attitudes
• International bodies
• National and local government policies
• Public perception, intellectual property, education, (bio)ethical issues
• Regulation, environmental impact and containment
• Socio-economic impact
• Food safety and security
• Risk assessments
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