, 2016 The advent of high speed computer systems has resulted in the evolution of the field of computational toxicology. The application of these computational tools to molecular biomarker development has facilitated the evolution of this field in a number of areas by accelerating access and appreciation of both the current state of knowledge about molecular ...
John H. Duffus +2 more
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Progress in data interoperability to support computational toxicology and chemical safety evaluation. [PDF]
Toxicol Appl Pharmacol, 2019 Watford S +4 more
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Introduction to Special Issue: Computational Toxicology [PDF]
Chemical Research in Toxicology, 2021 Nicole Kleinstreuer +2 more
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Computational Toxicology [PDF]
Toxicology Mechanisms and Methods, 2008 Luis G. Valerio, Rakesh Dixit
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Per-and polyfluoroalkyl substances and disrupted sleep: mediating roles of proteins [PDF]
Environmental AdvancesBackground: Per-and polyfluoroalkyl substances (PFAS) contamination may disrupt sleep through disrupted metabolic and immune functions. The study aims to investigate the association and potential mechanism between PFAS and sleep. Methods: We included 136
Shiwen Li +16 more
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Computational Toxicology Methods in Chemical Library Design and High-Throughput Screening Hit Validation. [PDF]
Methods Mol Biol, 2018 Hevener KE.
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Editorial: Leveraging artificial intelligence and open science for toxicological risk assessment [PDF]
Frontiers in ToxicologyMarc Teunis +3 more
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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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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
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Density Functional Theory in the Prediction of Mutagenicity: A Perspective [PDF]
, 2021 As a field, computational toxicology is concerned with using in silico models to predict and understand the origins of toxicity. It is fast, relatively inexpensive, and avoids the ethical conundrum of using animals in scientific experimentation.
Grayson, Matthew N., Townsend, Piers
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