Results 211 to 220 of about 21,882 (246)

Computational Systems Toxicology

2015
Toxicogenomics is an emerging field defined by the adaptation and application of functional genomics techniques to toxicology. Recent advances in generating and analyzing multi-omics data have facilitated the development of toxicogenomics to provide novel answers to many toxicology-related questions.
Constantinescu, Simona, Sturla, Shana J, Marra, Giancarlo, Wollscheid, Bernd, Beerenwinkel, Niko   +4 more
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Predictive Models and Computational Toxicology

2012
Understanding the potential health risks posed by environmental chemicals is a significant challenge elevated by the large number of diverse chemicals with generally uncharacterized exposures, mechanisms, and toxicities. The ToxCast computational toxicology research program was launched by EPA in 2007 and is part of the federal Tox21 consortium to ...
Thomas, Knudsen, Matthew, Martin, Kelly, Chandler, Nicole, Kleinstreuer, Richard, Judson, Nisha, Sipes   +5 more
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Computational Toxicology in EPA

2017
Presentation in Iowa City at ...
0000-0003-1749-9971, Crofton, Kevin
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ACToR — Aggregated Computational Toxicology Resource

Toxicology and Applied Pharmacology, 2008
ACToR (Aggregated Computational Toxicology Resource) is a database and set of software applications that bring into one central location many types and sources of data on environmental chemicals. Currently, the ACToR chemical database contains information on chemical structure, in vitro bioassays and in vivo toxicology assays derived from more than 150
Richard, Judson, Ann, Richard, David, Dix, Keith, Houck, Fathi, Elloumi, Matthew, Martin, Tommy, Cathey, Thomas R, Transue, Richard, Spencer, Maritja, Wolf   +9 more
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Application of a digital computer to emergency toxicology

Clinica Chimica Acta, 1974
Abstract A digital computer has been applied to the laboratory diagnosis of drug overdose. Analytic data is entered by the technologist at a keyboard in response to computer instructions. Major and minor ultraviolet absorption peaks, pH dependent spectral shifts, and peak absorbance ratios are used for decision making.
P, Jatlow, D, Seligson
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Computational Toxicology

2018
S. Thakkar, R. Perkins, H. Hong, W. Tong
  +4 more sources

Public Databases Supporting Computational Toxicology

Journal of Toxicology and Environmental Health, Part B, 2010
A major goal of the emerging field of computational toxicology is the development of screening-level models that predict potential toxicity of chemicals from a combination of mechanistic in vitro assay data and chemical structure descriptors. In order to build these models, researchers need quantitative in vitro and ideally in vivo data for large ...
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Computational Toxicology

Toxicology Mechanisms and Methods, 2008
Luis G, Valerio, Rakesh, Dixit
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Computational Toxicology: Application in Environmental Chemicals

2012
This chapter provides an overview of computational models that describe various aspects of the source-to-health effect continuum. Fate and transport models describe the release, transportation, and transformation of chemicals from sources of emission throughout the general environment.
Yu-Mei, Tan, Rory, Conolly, Daniel T, Chang, Rogelio, Tornero-Velez, Michael R, Goldsmith, Shane D, Peterson, Curtis C, Dary   +6 more
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Machine Learning Methods in Computational Toxicology

2018
Various methods of machine learning, supervised and unsupervised, linear and nonlinear, classification and regression, in combination with various types of molecular descriptors, both "handcrafted" and "data-driven," are considered in the context of their use in computational toxicology.
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