Efficiency of pharmaceutical toxicity prediction in computational toxicology. [PDF]
Toxicol ResUesawa Y.
europepmc +2 more sources
Computational Toxicology [PDF]
Toxicology Mechanisms and Methods, 2008 Luis G. Valerio, Rakesh Dixit
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EPA's DSSTox database: History of development of a curated chemistry resource supporting computational toxicology research. [PDF]
Comput Toxicol, 2019 Grulke CM +3 more
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Advancing Computational Toxicology in the Big Data Era by Artificial Intelligence: Data-Driven and Mechanism-Driven Modeling for Chemical Toxicity. [PDF]
Chem Res Toxicol, 2019 In 2016, the Frank R. Lautenberg Chemical Safety for the 21st Century Act became the first US legislation to advance chemical safety evaluations by utilizing novel testing approaches that reduce the testing of vertebrate animals.
Ciallella HL, Zhu H.
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Computational Toxicology is Now Inseparable from Experimental Toxicology [PDF]
Alternatives to Laboratory Animals, 2013 Mark T.D. Cronin
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Editorial: Leveraging artificial intelligence and open science for toxicological risk assessment [PDF]
Frontiers in ToxicologyMarc Teunis +3 more
doaj +2 more sources
Big-data and machine learning to revamp computational toxicology and its use in risk assessment. [PDF]
Toxicol Res (Camb), 2018 The creation of large toxicological databases and advances in machine-learning techniques have empowered computational approaches in toxicology. Work with these large databases based on regulatory data has allowed reproducibility assessment of animal ...
Luechtefeld T, Rowlands C, Hartung T.
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Aggregating data for computational toxicology applications: The U.S. Environmental Protection Agency (EPA) Aggregated Computational Toxicology Resource (ACToR) System. [PDF]
Int J Mol Sci, 2012 Judson RS +14 more
europepmc +3 more sources
Predicting molecular initiating events using chemical target annotations and gene expression
BioData Mining, 2022 Background The advent of high-throughput transcriptomic screening technologies has resulted in a wealth of publicly available gene expression data associated with chemical treatments.
Joseph L. Bundy +5 more
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Annotation depth confounds direct comparison of gene expression across species
BMC Bioinformatics, 2021 Background Comparisons of the molecular framework among organisms can be done on both structural and functional levels. One of the most common top-down approaches for functional comparisons is RNA sequencing. This estimation of organismal transcriptional
Elias Oziolor, Seda Arat, Matthew Martin
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