2017
DOI: 10.1016/j.fct.2017.02.002
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(Q)SAR tools for priority setting: A case study with printed paper and board food contact material substances

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Cited by 24 publications
(16 citation statements)
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“…In silico tools are essentially computer models, able to make predictions for a non-evaluated substance based on knowledge extracted from a collection of structurally related substances with experimental toxicity data. Quantitative structure-activity relationship (QSAR) modelling of chemical hazard may provide substitute toxicity data if testing is prohibitive, which has successfully been applied to FCM for hazard-based assessment and prioritization by Van Bossuyt et al (2017) and by Pieke et al (2018a).…”
Section: Figurementioning
confidence: 99%
“…In silico tools are essentially computer models, able to make predictions for a non-evaluated substance based on knowledge extracted from a collection of structurally related substances with experimental toxicity data. Quantitative structure-activity relationship (QSAR) modelling of chemical hazard may provide substitute toxicity data if testing is prohibitive, which has successfully been applied to FCM for hazard-based assessment and prioritization by Van Bossuyt et al (2017) and by Pieke et al (2018a).…”
Section: Figurementioning
confidence: 99%
“…Hence, if the exposure exceeds 0.15 µg person -1 day -1 genotoxicity testing is required, which is problematic for the large number of compounds that may exceed this threshold. Quantitative Structure-Activity Relationship (QSAR) modeling of chemical hazard may provide substitute toxicity data if testing is prohibitive, which has successfully been applied to FCM for hazard-based assessment and prioritization by van Bossuyt et al (2017). However, a limitation in hazard-based approaches is that these generally do not always consider occurrence, migration, and exposure.…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…One hundred and six non-evaluated printed paper and board FCM substances that were assigned high priority for further investigation of their genotoxic potential based on their positive results in a battery of 4 in silico tools (Van Bossuyt et al, 2017) were selected for the present study.…”
Section: Study Substancesmentioning
confidence: 99%
“…As a first step in such a strategy, in silico tools may be of particular interest. In a previous study, we have shown that 106 printed paper and board substances were predicted to induce gene mutations by up to 4 (quantitative) structure-activity relationship ((Q)SAR) tools and, hence, they are of high priority for further investigation (Van Bossuyt et al, 2017). Together with structural and numerical chromosome aberrations, gene mutations are the key endpoints that need to be addressed when investigating the genotoxic potential of a compound.…”
Section: Evaluations By Eu Authorities and Member States In A Non-fcm Contextmentioning
confidence: 99%