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Technology Evaluation

A flexible approach for optimising in silico ADME/Tox characterisation of lead candidates

Pages 157-168 | Published online: 01 Feb 2006

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Anthony E Klon. (2010) Machine learning algorithms for the prediction of hERG and CYP450 binding in drug development. Expert Opinion on Drug Metabolism & Toxicology 6:7, pages 821-833.
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John C Dearden. (2007) In silico prediction of ADMET properties: how far have we come?. Expert Opinion on Drug Metabolism & Toxicology 3:5, pages 635-639.
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François Petitet, Olivier Barberan, Elodie Dubus, Ismail Ijjaali, Mary Donlan, Sophie Ollivier & André Michel. (2006) Development of an ADME and drug–drug interactions knowledge database for the acceleration of drug discovery and development. Expert Opinion on Drug Discovery 1:7, pages 737-751.
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Articles from other publishers (4)

Hai-bo Yu, Bei-yan Zou, Xiao-liang Wang & Min Li. (2016) Investigation of miscellaneous hERG inhibition in large diverse compound collection using automated patch-clamp assay. Acta Pharmacologica Sinica 37:1, pages 111-123.
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Ahmed E Enayetallah, Dinesh Puppala, Daniel Ziemek, James E Fischer, Sheila Kantesaria & Mathew T Pletcher. (2013) Assessing the translatability of In vivo cardiotoxicity mechanisms to In vitro models using causal reasoning. BMC Pharmacology and Toxicology 14:1.
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Rajinder Bhardwaj & Gamini Chandrasena. 2012. ADME‐Enabling Technologies in Drug Design and Development. ADME‐Enabling Technologies in Drug Design and Development 15 28 .
Ernesto Estrada, Eugenio Uriarte, Enrique Molina, Yamil Simón-Manso & George W. A. Milne. (2006) An Integrated in Silico Analysis of Drug-Binding to Human Serum Albumin. Journal of Chemical Information and Modeling 46:6, pages 2709-2724.
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