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Metallomics : Integrated Biometal Science|March 7, 2019
High-throughput screening and Bayesian machine learning for copper-dependent inhibitors of Staphylococcus aureusAlex G Dalecki, Kimberley M Zorn, Alex M Clark, et al.
Environmental Science & Technology|November 19, 2020
Comparing Machine Learning Models for Aromatase (P450 19A1)Kimberley M Zorn, Daniel H Foil, Thomas R Lane, et al.
Environmental Science & Technology|October 21, 2020
Comparison of Machine Learning Models for the Androgen ReceptorKimberley M Zorn, Daniel H Foil, Thomas R Lane, et al.
Toxicological Sciences : an Official Journal of the Society of Toxicology|November 19, 2025
Machine Learning Modeling of Zebrafish Toxicity Endpoints After Exposure to PROTACsChristopher Yogodzinski, Joshua S Harris, Thomas R Lane, et al.
Drug Discovery Today|October 31, 2021
Knowledge-based approaches to drug discovery for rare diseasesVinicius M Alves, Daniel Korn, Vera Pervitsky, et al.
Pharmaceutical Research|December 19, 2018
High Throughput and Computational Repurposing for Neglected DiseasesHelen W Hernandez, Melinda Soeung, Kimberley M Zorn, et al.
F1000Research|May 3, 2016
Open drug discovery for the Zika virusSean Ekins, Daniel Mietchen, Megan Coffee, et al.
Drug Metabolism and Disposition: the Biological Fate of Chemicals|January 10, 2013
Drug transporters on arachnoid barrier cells contribute to the blood-cerebrospinal fluid barrierKazuto Yasuda, Cynthia Cline, Peter Vogel, et al.
The Journal of Pharmacology and Experimental Therapeutics|January 1, 2026
Inhibition of equilibrative nucleoside transporters 1 and 2 by proteolysis-targeting chimeras (PROTACs)Patricia A Vignaux, Lucy J Martinez Guerrero, Renuka Raman, et al.
Molecular Pharmaceutics|December 29, 2021
Machine Learning Models for Mycobacterium tuberculosisIn Vitro Activity: Prediction and Target VisualizationThomas R Lane, Fabio Urbina, Laura Rank, et al.
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