2019
DOI: 10.1007/978-3-030-16443-0_12
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Application of Computational Methods for the Safety Assessment of Food Ingredients

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Cited by 2 publications
(1 citation statement)
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“…The combined information on food additives referring to ADME properties has not been thoroughly explored yet. Computational strategies based on the quantitative structure–activity relationship (QSAR) are an alternative approach to animal testing that is highly robust and rapid to perform safety/toxicity evaluation. Computational toxicology complements the existing toxicity tests to predict toxicity without sacrificing laboratory animals, guide toxicity tests, and prioritize chemicals with a time- and cost-effective framework . To overcome this aforementioned shortfall on food additive properties and safety, we built a Food-Additive-Consumption-Safety Database (FOCUS-DB), an online comprehensive database on food additives that enables an exploration of food additives’ physicochemical properties, structures, identifying natural compounds, natural sources, ADI values, GHS signals, biological pathways, and links to other major recognized resources and databases.…”
Section: Introductionmentioning
confidence: 99%
“…The combined information on food additives referring to ADME properties has not been thoroughly explored yet. Computational strategies based on the quantitative structure–activity relationship (QSAR) are an alternative approach to animal testing that is highly robust and rapid to perform safety/toxicity evaluation. Computational toxicology complements the existing toxicity tests to predict toxicity without sacrificing laboratory animals, guide toxicity tests, and prioritize chemicals with a time- and cost-effective framework . To overcome this aforementioned shortfall on food additive properties and safety, we built a Food-Additive-Consumption-Safety Database (FOCUS-DB), an online comprehensive database on food additives that enables an exploration of food additives’ physicochemical properties, structures, identifying natural compounds, natural sources, ADI values, GHS signals, biological pathways, and links to other major recognized resources and databases.…”
Section: Introductionmentioning
confidence: 99%