Probabilistic modelling of developmental neurotoxicity based on a simplified adverse outcome pathway network.
第一作者:
Nicoleta,Spînu
第一单位:
School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Byrom Street, Liverpool L3 3AF, UK.
作者:
关键词
ADMET, Absorption, distribution, metabolism, excretion, and toxicityAO, Adverse outcomeAOP, Adverse outcome pathwayAdverse Outcome PathwayBBB, Blood-brain-barrierBDNF, Brain-derived neurotrophic factorBayesian hierarchical modelCAS RN, Chemical Abstracts Service Registry NumberCI, Credible interval CKE, Common key eventCNS, Central nervous systemCRA, Chemical risk assessmentCommon Key EventDAG, Directed acyclic graphDNT, Developmental neurotoxicityDTXSID, The US EPA Comptox Chemical Dashboard substance identifierDevelopmental NeurotoxicityEC, Effective concentrationHDI, Highest density intervalIATA, Integrated Approaches to Testing and AssessmentKE, Key eventKER, Key event relationshipLDH, Lactate dehydrogenaseMCMC, Markov chain Monte CarloMIE, Molecular initiating eventNAM, New approach methodologyNew Approach MethodologyOECD, Organisation for Economic Cooperation and DevelopmentP-gp, P-glycoproteinPBK, Physiologically-based kineticQSAR, Quantitative structure-activity relationshipSMILES, Simplified molecular input line entry systemqAOP, Quantitative adverse outcome pathway
DOI
10.1016/j.comtox.2021.100206
PMID
35211661
发布时间
2024-08-24
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Computational toxicology (Amsterdam, Netherlands)
2022年21卷
100206页
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