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Interrogating health-related public databases from a food toxicology perspective: Computational analysis of scoring data
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences. (Cancer Pharmacology and Computational Medicine)
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2011 (English)In: Food and Chemical Toxicology, ISSN 0278-6915, E-ISSN 1873-6351, Vol. 49, no 11, 2830-2840 p.Article in journal (Refereed) Published
Abstract [en]

Over the last 15 years, an expanding number of databases with information on noxious effects of substances on mammalian organisms and the environment have been made available on the Internet. This set of databases is a key source of information for risk assessment within several areas of toxicology. Here we present features and relationships across a relatively wide set of publicly accessible databases broadly within toxicology, in part by clustering multi-score representations of such repositories, to support risk assessment within food toxicology. For this purpose 36 databases were each scrutinized, using 18 test substances from six different categories as probes. Results have been analyzed by means of various uni- and multi-variate statistical operations. The former included a special index devised to afford context-specific rating of databases across a highly heterogeneous data matrix, whereas the latter involved cluster analysis, enabling the identification of database assemblies with overall shared characteristics. One database – HSDB – was outstanding due to rich and qualified information for most test substances, but an appreciable fraction of the interrogated repositories showed good to decent scoring. Among the six chosen substance groups, Food contact materials had the most comprehensive toxicological information, followed by the Pesticides category.

Place, publisher, year, edition, pages
2011. Vol. 49, no 11, 2830-2840 p.
National Category
Pharmacology and Toxicology Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:uu:diva-162723DOI: 10.1016/j.fct.2011.08.002ISI: 000296681600014OAI: oai:DiVA.org:uu-162723DiVA: diva2:461570
Available from: 2011-12-05 Created: 2011-12-05 Last updated: 2017-12-08Bibliographically approved

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Malm, PatrikGustafsson, Mats G.

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Centre for Image AnalysisComputerized Image Analysis and Human-Computer InteractionDepartment of Medical Sciences
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Pharmacology and ToxicologyBioinformatics (Computational Biology)

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