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Ana C Puhl

Showing results (21-30 of 53) with videos related to

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ACS Omega|February 8, 2021
Using Bibliometric Analysis and Machine Learning to Identify Compounds Binding to Sialidase-1Jennifer J Klein, Nancy C Baker, Daniel H Foil, et al.
ACS Omega|June 28, 2021
Correction to "Using Bibliometric Analysis and Machine Learning to Identify Compounds Binding to Sialidase-1"Jennifer J Klein, Nancy C Baker, Daniel H Foil, et al.
ACS Omega|April 10, 2023
Transporter Inhibition Profile for the Antivirals Tilorone, Quinacrine and PyronaridinePatricia A Vignaux, Thomas R Lane, Ana C Puhl, et al.
ACS Omega|June 30, 2023
Discovery of PL<sup>pro</sup> and M<sup>pro</sup> Inhibitors for SARS-CoV-2Ana C Puhl, Andre S Godoy, Gabriela D Noske, et al.
ACS Omega|November 30, 2020
Computational Approaches to Identify Molecules Binding to <i>Mycobacterium tuberculosis</i> KasAAna C Puhl, Thomas R Lane, Patricia A Vignaux, et al.
ACS Omega|November 6, 2023
Synthesis and Evaluation of 9-Aminoacridines with SARS-CoV-2 Antiviral ActivityThane Jones, Natalia Monakhova, Florence Guivel-Benhassine, et al.
Nature Materials|April 20, 2019
Exploiting machine learning for end-to-end drug discovery and developmentSean Ekins, Ana C Puhl, Kimberley M Zorn, et al.
Communications Chemistry|June 12, 2024
The Goldilocks paradigm: comparing classical machine learning, large language models, and few-shot learning for drug discovery applicationsScott H Snyder, Patricia A Vignaux, Mustafa Kemal Ozalp, et al.
Journal of Medicinal Chemistry|January 10, 2019
Inhibition of Inositol Polyphosphate Kinases by Quercetin and Related Flavonoids: A Structure-Activity AnalysisChunfang Gu, Michael A Stashko, Ana C Puhl-Rubio, et al.
Journal of Chemical Information and Modeling|July 21, 2021
Development of Machine Learning Models and the Discovery of a New Antiviral Compound against Yellow Fever VirusVictor O Gawriljuk, Daniel H Foil, Ana C Puhl, et al.
Pageof 6

Showing results (21-30 of 53) with videos related to

Sort By:
Pageof 6
ACS Omega|February 8, 2021
Using Bibliometric Analysis and Machine Learning to Identify Compounds Binding to Sialidase-1Jennifer J Klein, Nancy C Baker, Daniel H Foil, et al.
ACS Omega|June 28, 2021
Correction to "Using Bibliometric Analysis and Machine Learning to Identify Compounds Binding to Sialidase-1"Jennifer J Klein, Nancy C Baker, Daniel H Foil, et al.
ACS Omega|April 10, 2023
Transporter Inhibition Profile for the Antivirals Tilorone, Quinacrine and PyronaridinePatricia A Vignaux, Thomas R Lane, Ana C Puhl, et al.
ACS Omega|June 30, 2023
Discovery of PL<sup>pro</sup> and M<sup>pro</sup> Inhibitors for SARS-CoV-2Ana C Puhl, Andre S Godoy, Gabriela D Noske, et al.
ACS Omega|November 30, 2020
Computational Approaches to Identify Molecules Binding to <i>Mycobacterium tuberculosis</i> KasAAna C Puhl, Thomas R Lane, Patricia A Vignaux, et al.
ACS Omega|November 6, 2023
Synthesis and Evaluation of 9-Aminoacridines with SARS-CoV-2 Antiviral ActivityThane Jones, Natalia Monakhova, Florence Guivel-Benhassine, et al.
Nature Materials|April 20, 2019
Exploiting machine learning for end-to-end drug discovery and developmentSean Ekins, Ana C Puhl, Kimberley M Zorn, et al.
Communications Chemistry|June 12, 2024
The Goldilocks paradigm: comparing classical machine learning, large language models, and few-shot learning for drug discovery applicationsScott H Snyder, Patricia A Vignaux, Mustafa Kemal Ozalp, et al.
Journal of Medicinal Chemistry|January 10, 2019
Inhibition of Inositol Polyphosphate Kinases by Quercetin and Related Flavonoids: A Structure-Activity AnalysisChunfang Gu, Michael A Stashko, Ana C Puhl-Rubio, et al.
Journal of Chemical Information and Modeling|July 21, 2021
Development of Machine Learning Models and the Discovery of a New Antiviral Compound against Yellow Fever VirusVictor O Gawriljuk, Daniel H Foil, Ana C Puhl, et al.
Pageof 6