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Methods in Molecular Biology (Clifton, N.J.)|April 20, 2018
Data Mining and Computational Modeling of High-Throughput Screening DatasetsSean Ekins, Alex M Clark, Krishna Dole, et al.Journal of Computer-Aided Molecular Design|June 20, 2014
Bigger data, collaborative tools and the future of predictive drug discoverySean Ekins, Alex M Clark, S Joshua Swamidass, et al.Molecular Pharmaceutics|August 18, 2018
Comparing Multiple Machine Learning Algorithms and Metrics for Estrogen Receptor Binding PredictionDaniel P Russo, Kimberley M Zorn, Alex M Clark, et al.Molecular Biosystems|June 23, 2010
A collaborative database and computational models for tuberculosis drug discoverySean Ekins, Justin Bradford, Krishna Dole, et al.Molecular Pharmacology|June 10, 2018
Assessment of Substrate-Dependent Ligand Interactions at the Organic Cation Transporter OCT2 Using Six Model SubstratesPhilip J Sandoval, Kimberley M Zorn, Alex M Clark, et al.Journal of Chemical Information and Modeling|June 24, 2016
Machine Learning Model Analysis and Data Visualization with Small Molecules Tested in a Mouse Model of Mycobacterium tuberculosis Infection (2014-2015)Sean Ekins, Alexander L Perryman, Alex M Clark, et al.Drug Discovery Today|October 27, 2012
Four disruptive strategies for removing drug discovery bottlenecksSean Ekins, Chris L Waller, Mary P Bradley, et al.Drug Discovery Today|September 20, 2011
Mobile apps for chemistry in the world of drug discoveryAntony J Williams, Sean Ekins, Alex M Clark, et al.F1000Research|August 8, 2017
Machine learning models identify molecules active against the Ebola virus <i>in vitro</i>Sean Ekins, Joel S Freundlich, Alex M Clark, et al.Molecular Pharmaceutics|February 20, 2019
Multiple Machine Learning Comparisons of HIV Cell-based and Reverse Transcriptase Data SetsKimberley M Zorn, Thomas R Lane, Daniel P Russo, et al.Pageof 37