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DOSP-VHR-002499 | NanoInformaTIX - NMBP
Details
- Business Unit
- DOSP-THM
- Kennisgroep
- Expertisecentrum Duurzame Biomassa en Chemie (RADIUS)
- Beschrijving (Original)
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NanoInformaTIX will create a sustainable multi-scale modelling framework, integrating different validated NanoInformatics models from: Materials modelling, Exposure modelling, Bio-distribution modelling: Physiologically-Based Pharmacokinetics (PBPK), to Dose-Response modelling: Quantitative-Structure-Activity Relation (QSAR) and Systems Biology modelling to support the prediction of the potential (eco)-toxicity of ENM during each stage of their production.
- Beschrijving (Enhanced)
- NanoInformaTIX integrates various NanoInformatics models for sustainable multi-scale modeling to predict (eco)-toxicity of ENM at every production stage.
- Beschrijving (Cleaned)
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NanoInformaTIX will create a sustainable multi-scale modelling framework. The framework integrates various validated NanoInformatics models including Materials modelling, Exposure modelling, and Bio-distribution modelling such as Physiologically-Based Pharmacokinetics (PBPK). Additionally, Dose-Response modelling like Quantitative-Structure-Activity Relation (QSAR) and Systems Biology modelling will be incorporated. These models aim to support the prediction of the potential (eco)-toxicity of ENM at every stage of their production.
- Resultaatsbeschrijving
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• Dose-response modelling: activities: Use top-down data mining methods and other quantitative methods to derive models of the ENM dose-response relationship for (eco)-toxicity, allowing ENM descriptors (WP3) to be linked to adverse outcomes; To extrapolate the (in vitro based) dose-response to in vivo settings; To extent current systems biology models; To group and classify ENM according to their potential hazard. T5.1 Modelling Dose-Response m6-48; T5.2 Extrapolation in vitro/in vivo m6-48; T5.3 System Biology modelling m1-48; T5.4 grouping/Classifying ENM m30-48. Key outcomes: Validated, standardised and implemented models of ENM Dose-response relationships, in vitro /in vivo extrapolation, system biological models and a system to predict or group/classify the adverse outcome based on ENM descriptors.
- Resultaatsbeschrijving (Cleaned)
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Dose-response modelling activities involve using top-down data mining methods and other quantitative approaches to develop models of the ENM dose-response relationship for (eco)-toxicity. This allows for linking ENM descriptors (WP3) to adverse outcomes. The goal is to extrapolate the dose-response from in vitro settings to in vivo scenarios, as well as to expand current systems biology models. Additionally, the aim is to group and classify ENMs based on their potential hazard.
Key outcomes of these activities include validated, standardized, and implemented models of ENM dose-response relationships, in vitro/in vivo extrapolation, system biological models, and a system for predicting or grouping/classifying adverse outcomes using ENM descriptors.
- Start Datum
- 01-01-2019
- Eind Datum
- 28-02-2023
- Verification Status
- Not verified