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Christopher M Grulke

Showing results (1-10 of 30) with videos related to

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Journal of Cheminformatics|November 26, 2021
The effect of noise on the predictive limit of QSAR modelsScott S Kolmar, Christopher M Grulke
Scientific Data|April 22, 2020
Database of pharmacokinetic time-series data and parameters for 144 environmental chemicalsRisa R Sayre, John F Wambaugh, Christopher M Grulke
Journal of Biomedicine & Biotechnology|May 24, 2012
Toward a blended ontology: applying knowledge systems to compare therapeutic and toxicological nanoscale domainsChristopher M Grulke, Michael-Rock Goldsmith, Daniel A Vallero
Bioinformatics (Oxford, England)|October 5, 2010
Chembench: a cheminformatics workbenchTheo Walker, Christopher M Grulke, Diane Pozefsky, et al.
Computational Toxicology (Amsterdam, Netherlands)|January 11, 2021
EPA's DSSTox database: History of development of a curated chemistry resource supporting computational toxicology researchChristopher M Grulke, Antony J Williams, Inthirany Thillanadarajah, et al.
Bioinformation|August 10, 2013
PROcEED: Probabilistic reverse dosimetry approaches for estimating exposure distributionsChristopher M Grulke, Kathleen Holm, Michael-Rock Goldsmith, et al.
Green Chemistry : an International Journal and Green Chemistry Resource : GC|December 4, 2018
High-throughput screening of chemicals as functional substitutes using structure-based classification modelsKatherine A Phillips, John F Wambaugh, Christopher M Grulke, et al.
Journal of Medicinal Chemistry|October 21, 2010
Development, validation, and use of quantitative structure-activity relationship models of 5-hydroxytryptamine (2B) receptor ligands to identify novel receptor binders and putative valvulopathic compounds among common drugsRima Hajjo, Christopher M Grulke, Alexander Golbraikh, et al.
Scientific Data|July 11, 2018
The Chemical and Products Database, a resource for exposure-relevant data on chemicals in consumer productsKathie L Dionisio, Katherine Phillips, Paul S Price, et al.
Journal of Chemical Information and Modeling|August 22, 2013
Prediction of aquatic toxicity mode of action using linear discriminant and random forest modelsTodd M Martin, Christopher M Grulke, Douglas M Young, et al.
Pageof 3

Showing results (1-10 of 30) with videos related to

Sort By:
Pageof 3
Journal of Cheminformatics|November 26, 2021
The effect of noise on the predictive limit of QSAR modelsScott S Kolmar, Christopher M Grulke
Scientific Data|April 22, 2020
Database of pharmacokinetic time-series data and parameters for 144 environmental chemicalsRisa R Sayre, John F Wambaugh, Christopher M Grulke
Journal of Biomedicine & Biotechnology|May 24, 2012
Toward a blended ontology: applying knowledge systems to compare therapeutic and toxicological nanoscale domainsChristopher M Grulke, Michael-Rock Goldsmith, Daniel A Vallero
Bioinformatics (Oxford, England)|October 5, 2010
Chembench: a cheminformatics workbenchTheo Walker, Christopher M Grulke, Diane Pozefsky, et al.
Computational Toxicology (Amsterdam, Netherlands)|January 11, 2021
EPA's DSSTox database: History of development of a curated chemistry resource supporting computational toxicology researchChristopher M Grulke, Antony J Williams, Inthirany Thillanadarajah, et al.
Bioinformation|August 10, 2013
PROcEED: Probabilistic reverse dosimetry approaches for estimating exposure distributionsChristopher M Grulke, Kathleen Holm, Michael-Rock Goldsmith, et al.
Green Chemistry : an International Journal and Green Chemistry Resource : GC|December 4, 2018
High-throughput screening of chemicals as functional substitutes using structure-based classification modelsKatherine A Phillips, John F Wambaugh, Christopher M Grulke, et al.
Journal of Medicinal Chemistry|October 21, 2010
Development, validation, and use of quantitative structure-activity relationship models of 5-hydroxytryptamine (2B) receptor ligands to identify novel receptor binders and putative valvulopathic compounds among common drugsRima Hajjo, Christopher M Grulke, Alexander Golbraikh, et al.
Scientific Data|July 11, 2018
The Chemical and Products Database, a resource for exposure-relevant data on chemicals in consumer productsKathie L Dionisio, Katherine Phillips, Paul S Price, et al.
Journal of Chemical Information and Modeling|August 22, 2013
Prediction of aquatic toxicity mode of action using linear discriminant and random forest modelsTodd M Martin, Christopher M Grulke, Douglas M Young, et al.
Pageof 3