Suppr超能文献

过敏原数据库与过敏原语义学。

Allergen databases and allergen semantics.

作者信息

Gendel Steven M

机构信息

Food and Drug Administration, Center for Food Safety and Applied Nutrition, College Park, MD 20740, USA.

出版信息

Regul Toxicol Pharmacol. 2009 Aug;54(3 Suppl):S7-10. doi: 10.1016/j.yrtph.2008.10.011. Epub 2008 Dec 6.

Abstract

The efficacy of any specific bioinformatic analysis of the potential allergenicity of new food proteins depends directly on the nature and content of the databases that are used in the analysis. A number of different allergen-related databases have been developed, each designed to meet a different need. These databases differ in content, organization, and accessibility. These differences create barriers for users and prevent data sharing and integration. The development and application of appropriate semantic web technologies, (for example, a food allergen ontology) could help to overcome these barriers and promote the development of more advanced analytic capabilities.

摘要

对新食品蛋白质潜在致敏性进行任何特定生物信息学分析的功效,直接取决于分析中所使用数据库的性质和内容。已经开发了许多不同的与过敏原相关的数据库,每个数据库都是为满足不同需求而设计的。这些数据库在内容、组织和可访问性方面存在差异。这些差异给用户造成了障碍,并阻碍了数据共享与整合。开发和应用适当的语义网技术(例如食品过敏原本体)有助于克服这些障碍,并推动更先进分析能力的发展。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验