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C Madden

Showing results (271-280 of 339) with videos related to

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Toxicological Research|July 27, 2017
<i>In Silico</i> 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.
SAR and QSAR in Environmental Research|June 4, 2013
Prediction of immobilised artificial membrane chromatography retention factors using theoretical molecular fragments and structural featuresM R Ledbetter, S Gutsell, G Hodges, 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.
American Journal of Respiratory and Critical Care Medicine|April 16, 2011
The oxidized low-density lipoprotein receptor mediates vascular effects of inhaled vehicle emissionsAmie K Lund, JoAnn Lucero, Melissa Harman, et al.
Journal of Pharmaceutical and Biomedical Analysis|February 15, 2007
Chiral purity assay for Flindokalner using tandem mass spectrometry: method development, validation, and benchmarkingBrandy L Young, R G Cooks, Michelle C Madden, et al.
Acta Crystallographica. Section E, Crystallographic Communications|December 22, 2018
Hydrogen-bonding chain and dimer motifs in pyridinium and morpholinium hydrogen oxalate saltsDavid Z T Mulrooney, Eimear C Madden, Rhona F Lonergan, et al.
Chemical Research in Toxicology|March 20, 2020
A Fulvic Acid-like Substance Participates in the Pro-inflammatory Effects of Cigarette Smoke and Wood Smoke ParticlesDavid H Gonzalez, Joleen M Soukup, Michael C Madden, 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.
Pageof 34

Showing results (271-280 of 339) with videos related to

Sort By:
Pageof 34
Toxicological Research|July 27, 2017
<i>In Silico</i> 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.
SAR and QSAR in Environmental Research|June 4, 2013
Prediction of immobilised artificial membrane chromatography retention factors using theoretical molecular fragments and structural featuresM R Ledbetter, S Gutsell, G Hodges, 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.
American Journal of Respiratory and Critical Care Medicine|April 16, 2011
The oxidized low-density lipoprotein receptor mediates vascular effects of inhaled vehicle emissionsAmie K Lund, JoAnn Lucero, Melissa Harman, et al.
Journal of Pharmaceutical and Biomedical Analysis|February 15, 2007
Chiral purity assay for Flindokalner using tandem mass spectrometry: method development, validation, and benchmarkingBrandy L Young, R G Cooks, Michelle C Madden, et al.
Acta Crystallographica. Section E, Crystallographic Communications|December 22, 2018
Hydrogen-bonding chain and dimer motifs in pyridinium and morpholinium hydrogen oxalate saltsDavid Z T Mulrooney, Eimear C Madden, Rhona F Lonergan, et al.
Chemical Research in Toxicology|March 20, 2020
A Fulvic Acid-like Substance Participates in the Pro-inflammatory Effects of Cigarette Smoke and Wood Smoke ParticlesDavid H Gonzalez, Joleen M Soukup, Michael C Madden, 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.
Pageof 34