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The Science of the Total Environment|March 26, 2014
Methods for assigning confidence to toxicity data with multiple values--Identifying experimental outliersFabian P Steinmetz, Steven J Enoch, Judith C Madden, et al.
Computational Toxicology (Amsterdam, Netherlands)|February 13, 2023
A Mechanistic Framework for Integrating Chemical Structure and High-Throughput Screening Results to Improve Toxicity PredictionsMark D Nelms, Claire L Mellor, Steven J Enoch, et al.
Regulatory Toxicology and Pharmacology : RTP|November 24, 2018
Molecular fingerprint-derived similarity measures for toxicological read-across: Recommendations for optimal useC L Mellor, R L Marchese Robinson, R Benigni, et al.
Expert Opinion on Drug Metabolism & Toxicology|October 23, 2018
A critical review of adverse effects to the kidney: mechanisms, data sources, and in silico tools to assist predictionJulia Pletz, Steven J Enoch, Diviya M Jais, et al.
Chemical Research in Toxicology|September 19, 2015
Mechanism-Based QSAR Modeling of Skin SensitizationJ C Dearden, M Hewitt, D W Roberts, et al.
Computational Toxicology (Amsterdam, Netherlands)|February 25, 2022
Probabilistic modelling of developmental neurotoxicity based on a simplified adverse outcome pathway networkNicoleta Spînu, Mark T D Cronin, Junpeng Lao, et al.
Regulatory Toxicology and Pharmacology : RTP|April 10, 2023
Making in silico predictive models for toxicology FAIRMark T D Cronin, Samuel J Belfield, Katharine A Briggs, et al.
ALTEX|May 23, 2025
Moving towards making (quantitative) structure-activity relationships ((Q)SARs) for toxicity-related endpoints findable, accessible, interoperable and reusable (FAIR)Samuel J Belfield, Homa Basiri, Chavan Swapnil, et al.
ALTEX|September 25, 2025
The Findable, Accessible, Interoperable, Reusable (FAIR) Lite Principles to ensure utility of computational toxicology modelsMark T D Cronin, Homa Basiri, Samuel J Belfield, et al.
Computational Toxicology (Amsterdam, Netherlands)|August 18, 2021
COSMOS next generation - A public knowledge base leveraging chemical and biological data to support the regulatory assessment of chemicalsC Yang, M T D Cronin, K B Arvidson, et al.
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