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On the Use of In Silico Tools for Prioritising Toxicity Testing of the Low‐Volume Industrial Chemicals in REACH

https://doi.org/10.1111/bcpt.12193
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cphc.201200080openalex-snapshot
Recent Advances in Research Applications of Nanophase Hydroxyapatite
inferredcites →https://doi.org/10.1002/em.20013openalex-snapshot
Assessment of the sensitivity of the computational programs DEREK, TOPKAT, and MCASE in the prediction of the genotoxicity of pharmaceutical molecules
inferredcites →https://doi.org/10.1002/qsar.200960011openalex-snapshot
Formation of Structural Categories to Allow for Read‐Across for Teratogenicity
inferredcites →https://doi.org/10.1016/j.yrtph.2008.11.003openalex-snapshot
REACH, non-testing approaches and the urgent need for a change in mind set
inferredcites →https://doi.org/10.1016/j.yrtph.2013.01.002openalex-snapshot
The OSIRIS Weight of Evidence approach: ITS mutagenicity and ITS carcinogenicity
inferredcites →https://doi.org/10.1016/j.yrtph.2013.01.007openalex-snapshot
OSIRIS, a quest for proof of principle for integrated testing strategies of chemicals for four human health endpoints
inferredcites →https://doi.org/10.1021/ci050150zopenalex-snapshot
Prediction of the Rodent Carcinogenicity of 60 Pesticides by the DEREKfW Expert System
inferredcites →https://doi.org/10.1021/ci9003255openalex-snapshot
A Novel Approach Using Hierarchical Clustering To Select Industrial Chemicals for Environmental Impact Assessment
inferredcites →https://doi.org/10.1021/tx2000398openalex-snapshot
Comparative Evaluation of in Silico Systems for Ames Test Mutagenicity Prediction: Scope and Limitations
inferredcites →https://doi.org/10.1038/clpt.2011.300openalex-snapshot
(Q)SAR Modeling and Safety Assessment in Regulatory Review
inferredcites →https://doi.org/10.1039/c2tx20037fopenalex-snapshot
Assessing confidence in predictions made by knowledge-based systems
inferredcites →https://doi.org/10.1080/10590501.2011.629973openalex-snapshot
Comparison and Possible Use ofIn SilicoTools for Carcinogenicity Within REACH Legislation
inferredcites →https://doi.org/10.1080/10590501.2013.763576openalex-snapshot
Comparison of In Silico Models for Prediction of Mutagenicity
inferredcites →https://doi.org/10.1080/1062936x.2010.528598openalex-snapshot
Evaluation of the OECD (Q)SAR Application Toolbox and Toxtree for predicting and profiling the carcinogenic potential of chemicals
inferredcites →https://doi.org/10.1080/1062936x.2010.528959openalex-snapshot
Evaluation of the OECD QSAR Application Toolbox and Toxtree for estimating the mutagenicity of chemicals. Part 1. Aromatic amines
inferredcites →https://doi.org/10.1080/1062936x.2010.528961openalex-snapshot
Evaluation of the OECD QSAR Application Toolbox and Toxtree for estimating the mutagenicity of chemicals. Part 2. α-β unsaturated aliphatic aldehydes
inferredcites →https://doi.org/10.1080/15376510701857056openalex-snapshot
Predictivity and Reliability of QSAR Models: The Case of Mutagens and Carcinogens
inferredcites →https://doi.org/10.1080/15376510701857379openalex-snapshot
Combined Use of MC4PC, MDL-QSAR, BioEpisteme, Leadscope PDM, and Derek for Windows Software to Achieve High-Performance, High-Confidence, Mode of Action–Based Predictions of Chemical Carcinogenesis in Rodents
inferredcites →https://doi.org/10.1080/15376510701857460openalex-snapshot
MultiCASE Expert Systems and the REACH Initiative
inferredcites →https://doi.org/10.1093/mutage/17.4.321openalex-snapshot
Comparison of the computer programs DEREK and TOPKAT to predict bacterial mutagenicity
inferredcites →https://doi.org/10.1093/mutage/geh043openalex-snapshot
Three new consensus QSAR models for the prediction of Ames genotoxicity
inferredcites →https://doi.org/10.1177/026119290603400604openalex-snapshot
The Principles of Weight of Evidence Validation of Test Methods and Testing Strategies
inferredcites →https://doi.org/10.1289/ehp.0901157openalex-snapshot
Registration, Evaluation, and Authorization of Chemicals (REACH) Is but the First Step–How Far Will It Take Us? Six Further Steps to Improve the European Chemicals Legislation
inferredcites →https://doi.org/10.3109/03602539808996318openalex-snapshot
What do Animal Cancer Tests Tell us About Human Cancer Risk?: Overview of Analyses of the Carcinogenic Potency Database

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Metabolic activation and drug‐induced liver injury: in vitro approaches for the safety risk assessment of new drugs
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Contributions of Computer-Based Chemical Modeling Technologies on the Risk Assessment and the Environmental Fate Study of (Nano)pesticides
inferred← citeshttps://doi.org/10.1016/b978-0-443-15840-7.00016-6openalex-snapshot
Toxicokinetics and organ-specific toxicity
inferred← citeshttps://doi.org/10.1016/j.chemosphere.2015.07.036openalex-snapshot
Identifying potential endocrine disruptors among industrial chemicals and their metabolites – development and evaluation of in silico tools
inferred← citeshttps://doi.org/10.1016/j.yrtph.2015.09.008openalex-snapshot
Effect of exposure routes on the relationships of lethal toxicity to rats from oral, intravenous, intraperitoneal and intramuscular routes
inferred← citeshttps://doi.org/10.1016/j.yrtph.2017.09.030openalex-snapshot
Assessment of predictivity of volatile organic compounds carcinogenicity and mutagenicity by freeware in silico models
inferred← citeshttps://doi.org/10.1016/j.yrtph.2025.105853openalex-snapshot
Advancing the developmental and reproductive assessment in medical device preclinical safety evaluations
inferred← citeshttps://doi.org/10.1080/10590501.2014.938955openalex-snapshot
Evaluation of QSAR Models for the Prediction of Ames Genotoxicity: A Retrospective Exercise on the Chemical Substances Registered Under the EU REACH Regulation
inferred← citeshttps://doi.org/10.1080/1062936x.2018.1518261openalex-snapshot
Evaluation and improvement of QSAR predictions of skin sensitization for pesticides
inferred← citeshttps://doi.org/10.1111/bcpt.12246openalex-snapshot
Workshop of Scandinavian Society for Cell Toxicology 25‐27 September 2013 in Denmark
inferred← citeshttps://doi.org/10.24857/rgsa.v19n9-003openalex-snapshot
Computational Prediction of Environmental and Health Impacts by Persistent Organic Pollutants
inferred← citeshttps://doi.org/10.2903/sp.efsa.2019.en-1598openalex-snapshot
Evaluation of the applicability of existing (Q)SAR models for predicting the genotoxicity of pesticides and similarity analysis related with genotoxicity of pesticides for facilitating of grouping and read across
inferred← citeshttps://doi.org/10.4491/ksee.2025.47.12.818openalex-snapshot
Developing Machine Learning Based Models for Prediction of Pesticide Properties using Molecular Descriptors
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