Machine learning of toxicological big data enables read-across structure activity relationships (RASAR) outperforming animal test reproducibility
Earlier we created a chemical hazard database via natural language processing of dossiers
submitted to the European Chemical Agency with approximately 10 000 chemicals. We …
submitted to the European Chemical Agency with approximately 10 000 chemicals. We …
[HTML][HTML] The US Federal Tox21 Program: A strategic and operational plan for continued leadership
RS Thomas, RS Paules, A Simeonov, SC Fitzpatrick… - Altex, 2018 - ncbi.nlm.nih.gov
Background The traditional approaches to toxicity testing have posed multiple challenges for
evaluating the safety of industrial and environmental chemicals, pesticides, food additives …
evaluating the safety of industrial and environmental chemicals, pesticides, food additives …
[HTML][HTML] An analysis of the limitations and uncertainties of in vivo developmental neurotoxicity testing and assessment to identify the potential for alternative …
M Paparella, SH Bennekou, A Bal-Price - Reproductive Toxicology, 2020 - Elsevier
Limitations of regulatory in vivo developmental neurotoxicity (DNT) testing and assessment
are well known, such as the 3Rs conflict, low throughput, high costs, high specific expertise …
are well known, such as the 3Rs conflict, low throughput, high costs, high specific expertise …
Investigating cell type specific mechanisms contributing to acute oral toxicity
The replacement of animals in acute systemic toxicity testing remains a considerable
challenge. Only animal data are currently accepted by regulators, including data generated …
challenge. Only animal data are currently accepted by regulators, including data generated …
Comparison of in silico tools for evaluating rat oral acute toxicity
R Gonella Diaza, S Manganelli, A Esposito… - SAR and QSAR in …, 2015 - Taylor & Francis
Different in silico models have been developed and implemented for the evaluation of
mammalian acute toxicity, exploring acute oral toxicity data expressed as median lethal …
mammalian acute toxicity, exploring acute oral toxicity data expressed as median lethal …
In silico models for predicting acute systemic toxicity
I Tsakovska, A Diukendjieva, AP Worth - In Silico Methods for Predicting …, 2022 - Springer
In this chapter, we give a brief overview of the regulatory requirements for acute systemic
toxicity information in the European Union, and we review structure-based computational …
toxicity information in the European Union, and we review structure-based computational …
Limitations and uncertainties of acute fish toxicity assessments can be reduced using alternative methods
Information about acute fish toxicity is routinely required in many jurisdictions for
environmental risk assessment of chemicals. This information is typically obtained using a …
environmental risk assessment of chemicals. This information is typically obtained using a …
[HTML][HTML] Fish as a bioindicator of polycyclic aromatic hydrocarbon pollution in aquatic ecosystem of Ogun and Eleyele Rivers, Nigeria, and risk assessment for …
Abstract Ogun and Eleyele Rivers in Nigeria are known to be prone to industrial wastes
pollution. Therefore, assessing Polyaromatic Hydrocarbon (PAH) contamination in fish …
pollution. Therefore, assessing Polyaromatic Hydrocarbon (PAH) contamination in fish …
Principles and procedures for assessment of acute toxicity incorporating in silico methods
CM Zwickl, JC Graham, RA Jolly, A Bassan… - Computational …, 2022 - Elsevier
Acute toxicity in silico models are being used to support an increasing number of application
areas including (1) product research and development,(2) product approval and registration …
areas including (1) product research and development,(2) product approval and registration …
Evaluation of variability across rat acute oral systemic toxicity studies
Regulatory agencies rely upon rodent in vivo acute oral toxicity data to determine hazard
categorization, require appropriate precautionary labeling, and perform quantitative risk …
categorization, require appropriate precautionary labeling, and perform quantitative risk …