Predicting hepatotoxicity using ToxCast in vitro bioactivity and chemical structure.
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Computational methods for prediction of in vitro effects of new chemical structuresComputational Exposure Science: An Emerging Discipline to Support 21st-Century Risk AssessmentA Rat α-Fetoprotein Binding Activity Prediction Model to Facilitate Assessment of the Endocrine Disruption Potential of Environmental ChemicalsSystems Toxicology: Real World Applications and Opportunities.Chemically induced skin carcinogenesis: Updates in experimental models (Review).sNebula, a network-based algorithm to predict binding between human leukocyte antigens and peptidesPredicting organ toxicity using in vitro bioactivity data and chemical structure.In Silico Models for Hepatotoxicity.Advancing alternatives analysis: The role of predictive toxicology in selecting safer chemical products and processes.Next generation testing strategy for assessment of genomic damage: A conceptual framework and considerations.Chemical and in vitro biological information to predict mouse liver toxicity using recursive random forests.QSAR Models at the US FDA/NCTR.Genetic toxicology at the crossroads-from qualitative hazard evaluation to quantitative risk assessment.Co-culture of Hepatocytes and Kupffer Cells as an In Vitro Model of Inflammation and Drug-Induced Hepatotoxicity.Highlight report: Launch of a large integrated European in vitro toxicology project: EU-ToxRisk.A Reduced Transcriptome Approach to Assess Environmental Toxicants Using Zebrafish Embryo Test.Prediction of liver toxicity and mode of action using metabolomics in vitro in HepG2 cells.Competitive docking model for prediction of the human nicotinic acetylcholine receptor α7 binding of tobacco constituents.Alternative Toxicity Testing: Analyses on Skin Sensitization, ToxCast Phases I and II, and Carcinogenicity Provide Indications on How to Model Mechanisms Linked to Adverse Outcome Pathways.ProTox-II: a webserver for the prediction of toxicity of chemicals.Molecular similarity-based predictions of the Tox21 screening outcomeSystems ToxicologyUncertainty quantification in ToxCast high throughput screeningQSAR Modeling of Tox21 Challenge Stress Response and Nuclear Receptor Signaling Toxicity Assays
P2860
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P2860
Predicting hepatotoxicity using ToxCast in vitro bioactivity and chemical structure.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Predicting hepatotoxicity using ToxCast in vitro bioactivity and chemical structure.
@en
type
label
Predicting hepatotoxicity using ToxCast in vitro bioactivity and chemical structure.
@en
prefLabel
Predicting hepatotoxicity using ToxCast in vitro bioactivity and chemical structure.
@en
P2093
P50
P356
P1476
Predicting hepatotoxicity using ToxCast in vitro bioactivity and chemical structure.
@en
P2093
Huixiao Hong
Matthew T Martin
Minjun Chen
Xiaowei Xu
P304
P356
10.1021/TX500501H
P577
2015-03-09T00:00:00Z