Computational toxicology--a state of the science mini review.
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Systems biology and biomarkers of early effects for occupational exposure limit settingPredictive modeling of chemical hazard by integrating numerical descriptors of chemical structures and short-term toxicity assay dataFrom raw materials to validated system: the construction of a genomic library and microarray to interpret systemic perturbations in Northern bobwhiteMachine learning algorithms for mode-of-action classification in toxicity assessmentCategorizing biomarkers of the human exposome and developing metrics for assessing environmental sustainability.Paradigm shift in toxicity testing and modeling.Augmenting microarray data with literature-based knowledge to enhance gene regulatory network inference.Using In Vitro High-Throughput Screening Data for Predicting Benzo[k]Fluoranthene Human Health Hazards.Fathead minnow steroidogenesis: in silico analyses reveals tradeoffs between nominal target efficacy and robustness to cross-talk.The Salmonella mutagenicity assay: the stethoscope of genetic toxicology for the 21st century.In silico toxicology - non-testing methods.Adaptation of high-throughput screening in drug discovery-toxicological screening tests.A retrospective performance assessment of the developmental neurotoxicity study in support of OECD test guideline 426Exposure science and the U.S. EPA National Center for Computational Toxicology.Systems toxicology: from basic research to risk assessment.The computational prediction of genotoxicity.Systems biology: leading the revolution in ecotoxicology.Applicability of computational systems biology in toxicology.Current Knowledge on the Use of Computational Toxicology in Hazard Assessment of Metallic Engineered Nanomaterials.Blood-borne biomarkers and bioindicators for linking exposure to health effects in environmental health science.The U.S. Environmental Protection Agency strategic plan for evaluating the toxicity of chemicals.Twenty-first century approaches to toxicity testing, biomonitoring, and risk assessment: perspectives from the global chemical industry.Prediction of human genes and diseases targeted by xenobiotics using predictive toxicogenomic-derived models (PTDMs).Systems biology and mode of action based risk assessment.From Classical Toxicology to Tox21: Some Critical Conceptual and Technological Advances in the Molecular Understanding of the Toxic Response Beginning From the Last Quarter of the 20th Century.In Silico analysis of perturbed steroidogenesis and gonad growth in fathead minnows (P. promelas) exposed to 17α-ethynylestradiol.Computational toxicology as implemented by the U.S. EPA: providing high throughput decision support tools for screening and assessing chemical exposure, hazard and risk.Probabilistic diagram for designing chemicals with reduced potency to incur cytotoxicity
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Computational toxicology--a state of the science mini review.
description
article científic
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article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
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scientific article published on 07 December 2007
@en
vedecký článok
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vetenskaplig artikel
@sv
videnskabelig artikel
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vědecký článek
@cs
name
Computational toxicology--a state of the science mini review.
@en
Computational toxicology--a state of the science mini review.
@nl
type
label
Computational toxicology--a state of the science mini review.
@en
Computational toxicology--a state of the science mini review.
@nl
prefLabel
Computational toxicology--a state of the science mini review.
@en
Computational toxicology--a state of the science mini review.
@nl
P2093
P50
P356
P1476
Computational toxicology--a state of the science mini review.
@en
P2093
Ann Richard
Daniel Villeneuve
Elaine Hubal
Eric Weber
Gerald Ankley
James Rabinowitz
Keith Houck
Michael Breen
R Woodrow Setzer
P356
10.1093/TOXSCI/KFM297
P577
2007-12-07T00:00:00Z