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Toxicology in Vitro : an International Journal Published in Association with BIBRA|May 22, 2002
Quantitative structure-permeability relationships (QSPRs) for percutaneous absorptionG P Moss, J C Dearden, H Patel, et al.
ALTEX|February 12, 2011
Formation of mechanistic categories and local models to facilitate the prediction of toxicityMark T D Cronin, Steven J Enoch, Mark Hewitt, et al.
SAR and QSAR in Environmental Research|March 17, 2007
Structure-based modelling in reproductive toxicology: (Q)SARs for the placental barrierM Hewitt, J C Madden, P H Rowe, et al.
Nanotechnology|December 5, 2014
Novel approach for efficient predictions properties of large pool of nanomaterials based on limited set of species: nano-read-acrossAgnieszka Gajewicz, Mark T D Cronin, Bakhtiyor Rasulev, et al.
Alternatives to Laboratory Animals : ATLA|February 19, 2026
Redefining the gold standard and recommendations to accelerate the adoption of New Approach Methodologies (NAMs) in support of the Three RsJudith C Madden, Steven J Enoch, Alicia Paini, et al.
SAR and QSAR in Environmental Research|March 11, 2011
Reactivity and aquatic toxicity of aromatic compounds transformable to quinone-type Michael acceptorsF Bajot, M T D Cronin, D W Roberts, et al.
Computational Toxicology (Amsterdam, Netherlands)|June 21, 2019
Unlocking the potential of in silico chemical safety assessment - A report on a cross-sector symposium on current opportunities and future challengesMark T D Cronin, Judith C Madden, Chihae Yang, et al.
Alternatives to Laboratory Animals : ATLA|April 7, 2007
A comparative study of machine learning algorithms applied to predictive toxicology data miningDaniel C Neagu, Gongde Guo, Paul R Trundle, et al.
Toxicology Letters|January 3, 2009
Pharmaceuticals in the environment: good practice in predicting acute ecotoxicological effectsJudith C Madden, Steven J Enoch, Mark Hewitt, et al.
SAR and QSAR in Environmental Research|April 23, 2005
Structure-based methods for the prediction of the dominant P450 enzyme in human drug biotransformation: consideration of CYP3A4, CYP2C9, CYP2D6N Manga, J C Duffy, P H Rowe, et al.
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