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Toxicological Research|July 27, 2017
In Silico Prediction of Organ Level Toxicity: Linking Chemistry to Adverse EffectsMark T D Cronin, Steven J Enoch, Claire L Mellor, et al.
Journal of Chemical Information and Modeling|July 10, 2007
Consensus QSAR models: do the benefits outweigh the complexity?Mark Hewitt, Mark T D Cronin, Judith C Madden, et al.
Expert Opinion on Drug Metabolism & Toxicology|April 5, 2017
Characterisation of data resources for in silico modelling: benchmark datasets for ADME propertiesK R Przybylak, J C Madden, E Covey-Crump, et al.
Archives of Toxicology|June 4, 2014
Proposal of an in silico profiler for categorisation of repeat dose toxicity data of hair dyesM D Nelms, G Ates, J C Madden, et al.
Regulatory Toxicology and Pharmacology : RTP|May 12, 2021
Determination of "fitness-for-purpose" of quantitative structure-activity relationship (QSAR) models to predict (eco-)toxicological endpoints for regulatory useSamuel J Belfield, Steven J Enoch, James W Firman, et al.
Annals of the New York Academy of Sciences|May 14, 2005
Environmental agent susceptibility assessment using existing and novel biomarkers as rapid noninvasive testing methodsA Mandich, E Benfenati, M T D Cronin, et al.
Archives of Toxicology|January 10, 2024
Development of an adverse outcome pathway network for nephrotoxicityD A Barnes, J W Firman, S J Belfield, et al.
SAR and QSAR in Environmental Research|January 27, 2005
Qsar investigation of a large data set for fish, algae and Daphnia toxicityI Lessigiarska, A P Wortha, B Sokull-Klüttgen, et al.
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