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

Allergen databases and allergen semantics.

Author information

1
Food and Drug Administration, Center for Food Safety and Applied Nutrition, College Park, MD 20740, USA. steven.gendel@fda.hhs.gov

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.

PMID:
19095034
DOI:
10.1016/j.yrtph.2008.10.011
[Indexed for MEDLINE]

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