Predictive models of prenatal developmental toxicity from ToxCast high-throughput screening data.
about
A multi-stakeholder perspective on the use of alternative test strategies for nanomaterial safety assessmentThe next generation of risk assessment multiyear study - highlights of findings, applications to risk assessment, and future directionsCurrent perspectives on the use of alternative species in human health and ecological hazard assessmentsAggregating data for computational toxicology applications: The U.S. Environmental Protection Agency (EPA) Aggregated Computational Toxicology Resource (ACToR) SystemThe Tox21 robotic platform for the assessment of environmental chemicals--from vision to realityBig data in chemical toxicity research: the use of high-throughput screening assays to identify potential toxicantsAdvancing human health risk assessment: integrating recent advisory committee recommendationsA computational model predicting disruption of blood vessel developmentPhenotypic screening of the ToxCast chemical library to classify toxic and therapeutic mechanismsPredictive modeling of chemical hazard by integrating numerical descriptors of chemical structures and short-term toxicity assay dataSystems Toxicology of Male Reproductive Development: Profiling 774 Chemicals for Molecular Targets and Adverse OutcomesDevelopmental Effects of the ToxCast™ Phase I and Phase II Chemicals in Caenorhabditis elegans and Corresponding Responses in Zebrafish, Rats, and RabbitsIntersection of toxicogenomics and high throughput screening in the Tox21 program: an NIEHS perspectiveBuilding predictive models for mechanism-of-action classification from phenotypic assay data sets.A Quantitative High-Throughput Screening Data Analysis Pipeline for Activity Profiling.From transient transcriptome responses to disturbed neurodevelopment: role of histone acetylation and methylation as epigenetic switch between reversible and irreversible drug effects.Environmental impact on vascular development predicted by high-throughput screening.International STakeholder NETwork (ISTNET): creating a developmental neurotoxicity (DNT) testing road map for regulatory purposesProfiling of drugs and environmental chemicals for functional impairment of neural crest migration in a novel stem cell-based test batteryPredicting the future: opportunities and challenges for the chemical industry to apply 21st-century toxicity testing.In Silico Study of In Vitro GPCR Assays by QSAR Modeling.Incorporating High-Throughput Exposure Predictions With Dosimetry-Adjusted In Vitro Bioactivity to Inform Chemical Toxicity Testing.A standardized human embryoid body platform for the detection and analysis of teratogensApplying evolutionary genetics to developmental toxicology and risk assessment.Identification of transcriptome signatures and biomarkers specific for potential developmental toxicants inhibiting human neural crest cell migration.Application of a fuzzy neural network model in predicting polycyclic aromatic hydrocarbon-mediated perturbations of the Cyp1b1 transcriptional regulatory network in mouse skinProfiling 976 ToxCast chemicals across 331 enzymatic and receptor signaling assaysImproving the human hazard characterization of chemicals: a Tox21 updateAlternative models in developmental toxicology.Disruption of embryonic vascular development in predictive toxicology.Developmental neurotoxicity testing: a path forward.Emerging in vitro models for safety screening of high-volume production nanomaterials under environmentally relevant exposure conditions.Applicability of computational systems biology in toxicology.In vitro and modelling approaches to risk assessment from the U.S. Environmental Protection Agency ToxCast programme.Integrative approaches for predicting in vivo effects of chemicals from their structural descriptors and the results of short-term biological assays.An Intuitive Approach for Predicting Potential Human Health Risk with the Tox21 10k Library.Predicting organ toxicity using in vitro bioactivity data and chemical structure.Establishment and Characterization of a New Muscle Cell Line of Zebrafish (Danio rerio) as an In Vitro Model for Gene Expression Studies.Pathway Based Toxicology and Fit-for-Purpose Assays.Relative impact of incorporating pharmacokinetics on predicting in vivo hazard and mode of action from high-throughput in vitro toxicity assays.
P2860
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P2860
Predictive models of prenatal developmental toxicity from ToxCast high-throughput screening data.
description
2011 nî lūn-bûn
@nan
2011 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Predictive models of prenatal ...... igh-throughput screening data.
@ast
Predictive models of prenatal ...... igh-throughput screening data.
@en
Predictive models of prenatal ...... igh-throughput screening data.
@nl
type
label
Predictive models of prenatal ...... igh-throughput screening data.
@ast
Predictive models of prenatal ...... igh-throughput screening data.
@en
Predictive models of prenatal ...... igh-throughput screening data.
@nl
prefLabel
Predictive models of prenatal ...... igh-throughput screening data.
@ast
Predictive models of prenatal ...... igh-throughput screening data.
@en
Predictive models of prenatal ...... igh-throughput screening data.
@nl
P2093
P50
P356
P1476
Predictive models of prenatal ...... igh-throughput screening data.
@en
P2093
David J Dix
Kelly J Chandler
Nisha S Sipes
Robert J Kavlock
Thomas B Knudsen
P304
P356
10.1093/TOXSCI/KFR220
P577
2011-08-26T00:00:00Z