Gendel Steven M
Food and Drug Administration, Center for Food Safety and Applied Nutrition, College Park, MD 20740, USA.
Regul Toxicol Pharmacol. 2009 Aug;54(3 Suppl):S7-10. doi: 10.1016/j.yrtph.2008.10.011. Epub 2008 Dec 6.
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.
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。