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Drug Discovery Today|July 23, 2023
Learning from COVID-19: How drug hunters can prepare for the next pandemicAna C Puhl, Thomas R Lane, Sean EkinsNature Machine Intelligence|October 10, 2022
Dual Use of Artificial Intelligence-powered Drug DiscoveryFabio Urbina, Filippa Lentzos, Cédric Invernizzi, et al.Trends in Pharmacological Sciences|April 23, 2003
In vitro and pharmacophore insights into CYP3A enzymesSean Ekins, David M Stresser, J Andrew WilliamsPlos Neglected Tropical Diseases|October 21, 2016
OpenZika: An IBM World Community Grid Project to Accelerate Zika Virus Drug DiscoverySean Ekins, Alexander L Perryman, Carolina Horta AndradeJournal of Proteome Research|July 25, 2008
Intrinsic disorder in nuclear hormone receptorsMatthew D Krasowski, Erica J Reschly, Sean EkinsPharmaceutical Research|November 6, 2020
Correction to: Tilorone: a Broad-Spectrum Antiviral Invented in the USA and Commercialized in Russia and beyondSean Ekins, Thomas R Lane, Peter B MadridF1000Research|July 18, 2014
Recommendations to enable drug development for inherited neuropathies: Charcot-Marie-Tooth and Giant Axonal NeuropathyLori Sames, Allison Moore, Renee Arnold, et al.GEN Biotechnology|November 6, 2023
Generative Artificial Intelligence-Assisted Protein Design Must Consider Repurposing PotentialSean Ekins, Maximilian Brackmann, Cédric Invernizzi, et al.Chemical Biology & Drug Design|November 24, 2018
A rapid method for estimation of the efficacy of potential antimicrobials in humans and animals by agar diffusion assayElena G Salina, Sean Ekins, Vadim A MakarovJournal of Chemical Information and Modeling|June 27, 2014
Are bigger data sets better for machine learning? Fusing single-point and dual-event dose response data for Mycobacterium tuberculosisSean Ekins, Joel S Freundlich, Robert C ReynoldsPageof 37