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D-optimal Approximate Design for Binary Regression and Quantal Response in Toxicology Studies [PDF]
arXiv, 2022 We provide a systematic treatment of $D$-optimal design for binary regression and quantal response models in toxicology studies. For the two-parameter case, we provide an analytical equation (WC equation) for computing the $D$-optimal design quickly and when analytical solution is not available, we apply particle swarm optimization to solve for the $D$-
arxiv
Has Toxicity Testing Moved into the 21st Century? A Survey and Analysis of Perceptions in the Field of Toxicology. [PDF]
, 2017 BackgroundTen years ago, leaders in the field of toxicology called for a transformation of the discipline and a shift from primarily relying on traditional animal testing to incorporating advances in biotechnology and predictive methodologies into ...
Allard, Patrick +6 more
core +2 more sources
In silico toxicology: computational methods for the prediction of chemical toxicity
Wiley Interdisciplinary Reviews. Computational Molecular Science, 2016 Determining the toxicity of chemicals is necessary to identify their harmful effects on humans, animals, plants, or the environment. It is also one of the main steps in drug design.
A. Raies, V. Bajic
semanticscholar +1 more source
Wiley Interdisciplinary Reviews. Computational Molecular Science, 2020 In silico toxicology is an emerging field. It gains increasing importance as research is aiming to decrease the use of animal experiments as suggested in the 3R principles by Russell and Burch.
Jennifer Hemmerich, G. Ecker
semanticscholar +1 more source
Prospects and challenges of multi-omics data integration in toxicology
Archives of Toxicology, 2020 Exposure of cells or organisms to chemicals can trigger a series of effects at the regulatory pathway level, which involve changes of levels, interactions, and feedback loops of biomolecules of different types.
S. Canzler +9 more
semanticscholar +1 more source
Proteomics for systems toxicology
Computational and Structural Biotechnology Journal, 2014 Current toxicology studies frequently lack measurements at molecular resolution to enable a more mechanism-based and predictive toxicological assessment.
Bjoern Titz +7 more
doaj +1 more source
Structural Diversity, Characterization and Toxicology of Microcystins
Toxins, 2019 Hepatotoxic microcystins (MCs) are the most widespread class of cyanotoxins and the one that has most often been implicated in cyanobacterial toxicosis.
N. Bouaïcha +6 more
semanticscholar +1 more source
Frontiers in Pharmacology, 2021 Background:Haemonchus contortus is an important pathogenic nematode parasite and major economic constraint of small ruminants in tropics and subtropics regions.
Rehman Ali +6 more
doaj +1 more source
The European Registered Toxicologist (ERT) : Current status and prospects for advancement [PDF]
, 2016 Acknowledgements We would like to thank the participants of the five workshops in which the issues presented in this paper were discussed and the revised guidelines prepared, as well as the EUROTOX Executive Committee and the societies of toxicology of ...
Basaran, Nursen +27 more
core +1 more source
ToxCast Chemical Landscape: Paving the Road to 21st Century Toxicology.
Chemical Research in Toxicology, 2016 The U.S. Environmental Protection Agency's (EPA) ToxCast program is testing a large library of Agency-relevant chemicals using in vitro high-throughput screening (HTS) approaches to support the development of improved toxicity prediction models. Launched
A. Richard +17 more
semanticscholar +1 more source