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De Novo Development of a Quantitative Adverse Outcome Pathway (qAOP) Network for Ultraviolet B (UVB) Radiation Using Targeted Laboratory Tests and Automated Data Mining

You Song, Li Xie, YeonKyeong Lee, Knut Erik Tollefsen

2020Environmental Science & Technology37 citationsDOIOpen Access PDF

Abstract

data to predefined models. A complete workflow for assembly and evaluation of qAOPs has been presented, which may serve as a good example for future de novo qAOP development for chemical and nonchemical stressors.

Topics & Concepts

Adverse Outcome PathwayDaphnia magnaWorkflowStressorBioassayBiologyComputational biologyUltraviolet radiationComputer scienceEcologyToxicityChemistryDatabaseNeuroscienceRadiochemistryOrganic chemistryEnvironmental Toxicology and EcotoxicologyComputational Drug Discovery MethodsInsect Resistance and Genetics
De Novo Development of a Quantitative Adverse Outcome Pathway (qAOP) Network for Ultraviolet B (UVB) Radiation Using Targeted Laboratory Tests and Automated Data Mining | Litcius