Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Towards a qAOP framework for predictive toxicology - Linking data to decisions
The adverse outcome pathway (AOP) is a conceptual construct that facilitates organisation and interpretation of mechanistic data representing multiple biological levels and deriving from a range of methodological approaches including in silico, in vitro and in vivo assays. AOPs are playing an increasingly important role in the chemical safety assessment paradigm and quantification of AOPs is an important step towards a more reliable prediction of chemically induced adverse effects. Modelling methodologies require the identification, extraction and use of reliable data and information to support the inclusion of quantitative considerations in AOP development. An extensive and growing range of digital resources are available to support the modelling of quantitative AOPs, providing a wide range of information, but also requiring guidance for their practical application. A framework for qAOP development is proposed based on feedback from a group of experts and three qAOP case studies. The proposed framework provides a harmonised approach for both regulators and scientists working in this area. ; JRC.F.3 - Chemicals Safety and Alternative Methods
Towards a qAOP framework for predictive toxicology - Linking data to decisions
The adverse outcome pathway (AOP) is a conceptual construct that facilitates organisation and interpretation of mechanistic data representing multiple biological levels and deriving from a range of methodological approaches including in silico, in vitro and in vivo assays. AOPs are playing an increasingly important role in the chemical safety assessment paradigm and quantification of AOPs is an important step towards a more reliable prediction of chemically induced adverse effects. Modelling methodologies require the identification, extraction and use of reliable data and information to support the inclusion of quantitative considerations in AOP development. An extensive and growing range of digital resources are available to support the modelling of quantitative AOPs, providing a wide range of information, but also requiring guidance for their practical application. A framework for qAOP development is proposed based on feedback from a group of experts and three qAOP case studies. The proposed framework provides a harmonised approach for both regulators and scientists working in this area. ; JRC.F.3 - Chemicals Safety and Alternative Methods
Towards a qAOP framework for predictive toxicology - Linking data to decisions
PAINI Alicia (Autor:in) / CAMPIA Ivana (Autor:in) / CRONIN Mark (Autor:in) / ASTURIOL BOFILL David (Autor:in) / CERIANI Lidia (Autor:in) / EXNER Thomas (Autor:in) / GAO Wang (Autor:in) / GOMES Caroline (Autor:in) / KRUISSELBRINK Johannes (Autor:in) / MARTENS Marvin (Autor:in)
01.01.2022
Sonstige
Elektronische Ressource
Englisch
DDC:
710
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