Christopher M Grulke

PROcEED: Probabilistic reverse dosimetry approaches for estimating exposure distributions

Michael-Rock Goldsmith, Christopher M Grulke, Kathleen Holm, 2013, Bioinformation.

The Next Generation Blueprint of Computational Toxicology at the U.S. Environmental Protection Agency.

Ann M Richard, Imran Shah, Thomas B Knudsen, 2019, Toxicological sciences : an official journal of the Society of Toxicology.

SHEDS-HT: an integrated probabilistic exposure model for prioritizing exposures to chemicals with near-field and dietary sources.

Daniel Vallero, Halûk Özkaynak, Michael-Rock Goldsmith, 2014, Environmental science & technology.

High-throughput screening of chemicals as functional substitutes using structure-based classification models.

Christopher M Grulke, John F Wambaugh, Kathie L Dionisio, 2017, Green chemistry : an international journal and green chemistry resource : GC.

Linking high resolution mass spectrometry data with exposure and toxicity forecasts to advance high-throughput environmental monitoring.

Ann M Richard, Christopher M Grulke, John F Wambaugh, 2016, Environment international.

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 drugs.

Alexander Golbraikh, Alexander Tropsha, Christopher M Grulke, 2010, Journal of medicinal chemistry.