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Expert Opinion on Drug Metabolism & Toxicology Volume 7, 2011 - Issue 12
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A review of the use of in silico methods to predict the chemistry of molecular initiating events related to drug toxicity

Claire M Ellison Liverpool John Moores University, School of Pharmacy and Biomolecular Sciences, Byrom Street, Liverpool, L3 3AF, UK
, BSc PhD (Post-doctoral Researcher) ,
Steven J Enoch Liverpool John Moores University, School of Pharmacy and Biomolecular Sciences, Byrom Street, Liverpool, L3 3AF, UK
, BSc MSc PhD (Post-doctoral Researcher) &
Mark TD Cronin Liverpool John Moores University, School of Pharmacy and Biomolecular Sciences, Byrom Street, Liverpool, L3 3AF, UK+0151 231 2402; +0151 231 2170; [email protected]
, BSc PhD (Professor of Predictive Toxicology)
Pages 1481-1495 | Published online: 28 Oct 2011

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Julia Pletz, Steven J. Enoch, Diviya M. Jais, Claire L. Mellor, Gopal Pawar, James W. Firman, Judith C. Madden, Steven D. Webb, Carlos A. Tagliati & Mark T. D. Cronin. (2018) A critical review of adverse effects to the kidney: mechanisms, data sources, and in silico tools to assist prediction. Expert Opinion on Drug Metabolism & Toxicology 14:12, pages 1225-1253.
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K.M. Sullivan, J.R. Manuppello & C.E. Willett. (2014) Building on a solid foundation: SAR and QSAR as a fundamental strategy to reduce animal testing. SAR and QSAR in Environmental Research 25:5, pages 357-365.
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Katarzyna R Przybylak & Mark TD Cronin. (2012) In silico models for drug-induced liver injury – current status. Expert Opinion on Drug Metabolism & Toxicology 8:2, pages 201-217.
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Dominic P. Williams, Rebecca Shipley, Marianne J. Ellis, Steve Webb, John Ward, Iain Gardner & Stuart Creton. (2013) Novel in vitro and mathematical models for the prediction of chemical toxicity. Toxicol. Res. 2:1, pages 40-59.
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