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Journal of Chemical Information and Modeling|January 12, 2016
Open Source Bayesian Models. 3. Composite Models for Prediction of Binned ResponsesAlex M Clark, Krishna Dole, Sean Ekins
Drug Discovery Today|November 26, 2016
Collaborative drug discovery for More Medicines for Tuberculosis (MM4TB)Sean Ekins, Anna Coulon Spektor, Alex M Clark, et al.
Journal of Chemical Information and Modeling|May 22, 2015
Open Source Bayesian Models. 2. Mining a "Big Dataset" To Create and Validate Models with ChEMBLAlex M Clark, Sean Ekins
Journal of Chemical Information and Modeling|May 22, 2015
Open Source Bayesian Models. 1. Application to ADME/Tox and Drug Discovery DatasetsAlex M Clark, Krishna Dole, Anna Coulon-Spektor, et al.
Journal of Cheminformatics|March 19, 2013
TB Mobile: a mobile app for anti-tuberculosis molecules with known targetsSean Ekins, Alex M Clark, Malabika Sarker
Journal of Cheminformatics|October 11, 2014
New target prediction and visualization tools incorporating open source molecular fingerprints for TB Mobile 2.0Alex M Clark, Malabika Sarker, Sean Ekins
Molecular Informatics|December 1, 2012
Redefining Cheminformatics with Intuitive Collaborative Mobile AppsAlex M Clark, Sean Ekins, Antony J Williams
Journal of Cheminformatics|March 24, 2015
Machines first, humans second: on the importance of algorithmic interpretation of open chemistry dataAlex M Clark, Antony J Williams, Sean Ekins
Drug Metabolism and Disposition: the Biological Fate of Chemicals|July 23, 2015
Making Transporter Models for Drug-Drug Interaction Prediction MobileSean Ekins, Alex M Clark, Stephen H Wright
Molecular Informatics|December 1, 2012
Open Drug Discovery Teams: A Chemistry Mobile App for CollaborationSean Ekins, Alex M Clark, Antony J Williams
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