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Chemical Biology & Drug Design
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November 24, 2018
A rapid method for estimation of the efficacy of potential antimicrobials in humans and animals by agar diffusion assay
Elena G Salina, Sean Ekins, Vadim A Makarov
Journal 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 tuberculosis
Sean Ekins, Joel S Freundlich, Robert C Reynolds
Cold Spring Harbor Perspectives in Medicine
|
November 3, 2025
Tuberculosis Drug Discovery in the Age of Artificial Intelligence
Sean Ekins, Thomas R Lane, Jason T Wong
Nature Machine Intelligence
|
November 17, 2022
A teachable moment for dual-use
Fabio Urbina, Filippa Lentzos, Cédric Invernizzi, et al.
Heliyon
|
November 6, 2019
Extracellular binding of indinavir to matrix metalloproteinase-2 and the alpha-7-nicotinic acetylcholine receptor: implications for use in cancer treatment
Anna Lee, Erin Saito, Sean Ekins, et al.
Journal of Chemical Information and Modeling
|
January 25, 2023
Preventing AI From Creating Biochemical Threats
Fabio Urbina, Filippa Lentzos, Cédric Invernizzi, et al.
Drug Metabolism and Disposition: the Biological Fate of Chemicals
|
September 17, 2010
A predictive ligand-based Bayesian model for human drug-induced liver injury
Sean Ekins, Antony J Williams, Jinghai J Xu
Drug Discovery Today
|
May 5, 2010
Evolving molecules using multi-objective optimization: applying to ADME/Tox
Sean Ekins, J Dana Honeycutt, James T Metz
Molecular Informatics
|
December 1, 2012
Open Drug Discovery Teams: A Chemistry Mobile App for Collaboration
Sean Ekins, Alex M Clark, Antony J Williams
Drug Discovery Today
|
August 24, 2013
Multifaceted roles of ultra-rare and rare disease patients/parents in drug discovery
Jill Wood, Lori Sames, Allison Moore, et al.
Page
of 38
Search research articles
Search
Showing results (101-110 of 374) with videos related to
Sort By:
Page
of 38
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 assay
Elena G Salina, Sean Ekins, Vadim A Makarov
Journal 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 tuberculosis
Sean Ekins, Joel S Freundlich, Robert C Reynolds
Cold Spring Harbor Perspectives in Medicine
|
November 3, 2025
Tuberculosis Drug Discovery in the Age of Artificial Intelligence
Sean Ekins, Thomas R Lane, Jason T Wong
Nature Machine Intelligence
|
November 17, 2022
A teachable moment for dual-use
Fabio Urbina, Filippa Lentzos, Cédric Invernizzi, et al.
Heliyon
|
November 6, 2019
Extracellular binding of indinavir to matrix metalloproteinase-2 and the alpha-7-nicotinic acetylcholine receptor: implications for use in cancer treatment
Anna Lee, Erin Saito, Sean Ekins, et al.
Journal of Chemical Information and Modeling
|
January 25, 2023
Preventing AI From Creating Biochemical Threats
Fabio Urbina, Filippa Lentzos, Cédric Invernizzi, et al.
Drug Metabolism and Disposition: the Biological Fate of Chemicals
|
September 17, 2010
A predictive ligand-based Bayesian model for human drug-induced liver injury
Sean Ekins, Antony J Williams, Jinghai J Xu
Drug Discovery Today
|
May 5, 2010
Evolving molecules using multi-objective optimization: applying to ADME/Tox
Sean Ekins, J Dana Honeycutt, James T Metz
Molecular Informatics
|
December 1, 2012
Open Drug Discovery Teams: A Chemistry Mobile App for Collaboration
Sean Ekins, Alex M Clark, Antony J Williams
Drug Discovery Today
|
August 24, 2013
Multifaceted roles of ultra-rare and rare disease patients/parents in drug discovery
Jill Wood, Lori Sames, Allison Moore, et al.
Page
of 38