Résultats de la recherche - 14 results

Hazard characterization of Alternaria toxins to identify data gaps and improve risk assessment for human health.

in silico modeling predicts further Alternaria toxins as potential estrogenic factors. Recent studies indicate also an immunosuppressive role of AOH and ATX- II; however, no data are available for the ...

Design and Application of a Semi-automated Workflow including In Silico Models to support the Risk Assessment of Food Contact Material Substances

Publication Type: Scientific poster, presentation or proceeding Authors: Camille Streel; Ilse Van Overmeire; Gianluca Selvestrel; Alessandra Roncaglioni; Emilio Benfenati; Alessio Sommovigo; Alberto Manganaro; Els Van Hoeck; Birgit Mertens Source: BelTox ...

Flanders and Brussels join forces to tackle animal testing

methods from various research fields and research fields and institutions. This includes using human material in cell and tissue cultures (in vitro), or computer models (in silico). “These new, innovative ...

Chemical and toxciological characterization of e-liquid cigarettes

quantitative in silico models. In total, potential genotoxicity activity was predicted for 44 flavourings. Based on information from European databases, genotoxicity could be confirmed for five of these ...

New QSAR models to predict chromosome damaging potential based on the in vivo micronucleus test

Emilio Source: Toxicology Letters, Volume 329, Number 84 (2020) Keywords: Chromosome damage genotoxicity In silico model In vivo micronucleus QSAR Abstract: A large number of computer-based prediction ...

Genotoxic evaluation of the liquids present in electronic cigarettes

immunological responses in animal models. Whether these findings are also relevant to humans remains unclear. [Aim]   The genotoxic potential of flavouring substances present in e-cigarettes was studied using ...

Identification of Flavouring Substances of Genotoxic Concern Present in E-Cigarette Refills

investigated in silico with two complementary (quantitative) structure-activity relationship ((Q) SAR) models (Derek Nexus, Sarah Nexus). In total, 57 flavouring components were identified with a structural ...

Performance of in silico models for mutagenicity prediction of food contact materials

Toxicological Sciences, Volume 163, Issue 2 (2018) Keywords: (Q)SAR food contact materials In silico mutagenicity VALIDATION Abstract: In silico methodologies, such as (quantitative) structure-activity ...

Coatings in food contact materials: Potential source of genotoxic contaminants?

context and from the European CH emicals Agency (ECHA) website. In total, 53 substances were identified as genotoxic in both in silico models, of which ten were considered to be of high concern. For most of ...

(Q)SAR tools for priority setting: A case study with printed paper and board food contact material substances.

methods such as in silico (i.e. computational) techniques gain more and more importance. In the current study, a new prioritization strategy for identifying potentially mutagenic substances was developed ...

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