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Judith C Madden

Showing results (51-60 of 72) with videos related to

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Chemical Research in Toxicology|January 4, 2017
Validation of a Fragment-Based Profiler for Thiol Reactivity for the Prediction of Toxicity: Skin Sensitization and Tetrahymena pyriformisDavid J Ebbrell, Judith C Madden, Mark T D Cronin, et al.
Regulatory Toxicology and Pharmacology : RTP|March 27, 2012
Strategies for the optimisation of in vivo experiments in accordance with the 3Rs philosophyJudith C Madden, Mark Hewitt, Katarzyna Przybylak, et al.
Chemical Science|March 19, 2019
Predicting protein-ligand binding affinity and correcting crystal structures with quantum mechanical calculations: lactate dehydrogenase AIva Lukac, Hend Abdelhakim, Richard A Ward, et al.
Alternatives to Laboratory Animals : ATLA|December 19, 2009
The in chemico-in silico interface: challenges for integrating experimental and computational chemistry to identify toxicityMark T D Cronin, Fania Bajot, Steven J Enoch, et al.
Molecular Informatics|August 3, 2016
Towards a Fuzzy Expert System on Toxicological Data Quality AssessmentLongzhi Yang, Daniel Neagu, Mark T D Cronin, et al.
Archives of Toxicology|August 25, 2019
Development and analysis of an adverse outcome pathway network for human neurotoxicityNicoleta Spinu, Anna Bal-Price, Mark T D Cronin, et al.
Chemical Research in Toxicology|October 2, 2010
Prediction of michael-type acceptor reactivity toward glutathioneJohannes A H Schwöbel, Dominik Wondrousch, Yana K Koleva, et al.
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.
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 8

Showing results (51-60 of 72) with videos related to

Sort By:
Pageof 8
Chemical Research in Toxicology|January 4, 2017
Validation of a Fragment-Based Profiler for Thiol Reactivity for the Prediction of Toxicity: Skin Sensitization and Tetrahymena pyriformisDavid J Ebbrell, Judith C Madden, Mark T D Cronin, et al.
Regulatory Toxicology and Pharmacology : RTP|March 27, 2012
Strategies for the optimisation of in vivo experiments in accordance with the 3Rs philosophyJudith C Madden, Mark Hewitt, Katarzyna Przybylak, et al.
Chemical Science|March 19, 2019
Predicting protein-ligand binding affinity and correcting crystal structures with quantum mechanical calculations: lactate dehydrogenase AIva Lukac, Hend Abdelhakim, Richard A Ward, et al.
Alternatives to Laboratory Animals : ATLA|December 19, 2009
The in chemico-in silico interface: challenges for integrating experimental and computational chemistry to identify toxicityMark T D Cronin, Fania Bajot, Steven J Enoch, et al.
Molecular Informatics|August 3, 2016
Towards a Fuzzy Expert System on Toxicological Data Quality AssessmentLongzhi Yang, Daniel Neagu, Mark T D Cronin, et al.
Archives of Toxicology|August 25, 2019
Development and analysis of an adverse outcome pathway network for human neurotoxicityNicoleta Spinu, Anna Bal-Price, Mark T D Cronin, et al.
Chemical Research in Toxicology|October 2, 2010
Prediction of michael-type acceptor reactivity toward glutathioneJohannes A H Schwöbel, Dominik Wondrousch, Yana K Koleva, et al.
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.
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 8