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International Journal of Pharmaceutics|May 9, 2002
Quantitative structure-permeability relationships for percutaneous absorption: re-analysis of steroid dataGary P Moss, Mark T D CroninEnvironmental Science. Processes & Impacts|March 1, 2017
(Q)SARs to predict environmental toxicities: current status and future needsMark T D CroninAlternatives to Laboratory Animals : ATLA|January 7, 2003
The current status and future applicability of quantitative structure-activity relationships (QSARs) in predicting toxicityMark T D CroninAnalytica Chimica Acta|February 12, 2008
Application of the modelling power approach to variable subset selection for GA-PLS QSAR modelsSalvador Sagrado, Mark T D CroninJournal of Chemical Information and Modeling|May 23, 2006
Diagnostic tools to determine the quality of "transparent" regression-based QSARs: the "modelling power" plotSalvador Sagrado, Mark T D CroninMolecular Diversity|December 23, 2004
Comparison of electrotopological-state indices versus atomic charge and superdelocalisability indices in a QSAR study of the receptor binding properties of halogenated estradiol derivativesTaravat Ghafourian, Mark T D CroninExpert Opinion on Drug Metabolism & Toxicology|January 18, 2012
In silico models for drug-induced liver injury--current statusKatarzyna R Przybylak, Mark T D CroninRegulatory Toxicology and Pharmacology : RTP|June 29, 2017
Lessons learned from read-across case studies for repeated-dose toxicityTerry W Schultz, Mark T D CroninAlternatives to Laboratory Animals : ATLA|April 16, 2013
Report of the workshop on the validation of QSARs and other computational prediction modelsAndrew P Worth, Mark T D CroninExpert Opinion on Drug Metabolism & Toxicology|July 25, 2006
Structure-based methods for the prediction of drug metabolismJudith C Madden, Mark T D CroninPageof 19