Daniel H. Foil

发表

Machine Learning Models Identify Inhibitors of SARS-CoV-2

Thomas Rogers, Sean Ekins, Kimberley M. Zorn, 2020, bioRxiv.

Machine Learning for Discovery of GSK3β Inhibitors

Sean Ekins, Daniel H. Foil, Ana C. Puhl, 2020, ACS omega.

Quantum Machine Learning Algorithms for Drug Discovery Applications

Sean Ekins, Kimberley M. Zorn, Victor O. Gawriljuk, 2021, J. Chem. Inf. Model..

Development of Machine Learning Models and the Discovery of a New Antiviral Compound against Yellow Fever Virus

Sean Ekins, Kimberley M. Zorn, Glaucius Oliva, 2021, J. Chem. Inf. Model..

Déjà vu: Stimulating open drug discovery for SARS-CoV-2

Sean Ekins, Christopher Southan, Kimberley M. Zorn, 2020, Drug Discovery Today.

Repurposing Pyramax® for the Treatment of Ebola Virus Disease: Additivity of the Lysosomotropic Pyronaridine and Non-Lysosomotropic Artesunate

Daniel H. Foil, Peter B. Madrid, S. Ekins, 2020, bioRxiv.

Repurposing Pyramax®, quinacrine and tilorone as treatments for Ebola virus disease

Daniel H. Foil, Peter B. Madrid, S. Ekins, 2020, Antiviral Research.

Synergistic drug combinations and machine learning for drug repurposing in chordoma

Tammy M. Havener, Kimberley M. Zorn, Daniel H. Foil, 2020, Scientific Reports.

A Very Large-Scale Bioactivity Comparison of Deep Learning and Multiple Machine Learning Algorithms for Drug Discovery

Kimberley M. Zorn, Daniel H. Foil, S. Ekins, 2020 .

Secondary Metabolites from the Leaves of the Medicinal Plant Goldenseal (Hydrastis canadensis).

Daniel H. Foil, N. Oberlies, N. Cech, 2017, Phytochemistry letters.

A Mass Spectrometry-Based Assay for Improved Quantitative Measurements of Efflux Pump Inhibition

Daniel H. Foil, G. Kaatz, N. Cech, 2015, PloS one.

Evaluation of Assay Central Machine Learning Models for Rat Acute Oral Toxicity Prediction

Kimberley M. Zorn, Daniel H. Foil, S. Ekins, 2020 .

Drug Discovery and Development for Kinetoplastid Diseases

Kimberley M. Zorn, Daniel H. Foil, S. Ekins, 2021 .

Déjà vu: Stimulating open drug discovery for SARS-CoV-2

Kimberley M. Zorn, Daniel H. Foil, C. Southan, 2020, Drug Discovery Today.

Predicting Drug Interactions with Human Equilibrative Nucleoside Transporters 1 and 2 Using Functional Knockout Cell Lines and Bayesian Modeling

Kimberley M. Zorn, Daniel H. Foil, S. Ekins, 2020, Molecular Pharmacology.

Synthesis of poly(1,2-glycerol carbonate)–paclitaxel conjugates and their utility as a single high-dose replacement for multi-dose treatment regimens in peritoneal cancer† †Electronic supplementary information (ESI) available. See DOI: 10.1039/c7sc03501b

Daniel H. Foil, M. Grinstaff, Y. Colson, 2017, Chemical science.

Multiple approaches to repurposing drugs for neuroblastoma.

Tammy M. Havener, Kimberley M. Zorn, Daniel H. Foil, 2022, Bioorganic & medicinal chemistry.

Bacterial efflux inhibitors are widely distributed in land plants.

Daniel H. Foil, E. Lacey, N. Cech, 2020, Journal of ethnopharmacology.

Comparison of Machine Learning Models for the Androgen Receptor.

Sean Ekins, Thomas R Lane, Kimberley M. Zorn, 2020, Environmental science & technology.

Comparing Machine Learning Models for Aromatase (P450 19A1).

Sean Ekins, Thomas R Lane, Kimberley M. Zorn, 2020, Environmental science & technology.

Machine Learning Models for Estrogen Receptor Bioactivity and Endocrine Disruption Prediction.

Sean Ekins, Kimberley M Zorn, Thomas R Lane, 2020, Environmental science & technology.

Imaging the Unimaginable: Desorption Electrospray Ionization – Imaging Mass Spectrometry (DESI-IMS) in Natural Product Research

Daniel H. Foil, Stefano Papazian, D. Taşdemir, 2018, Planta Medica.

A Machine Learning Strategy for Drug Discovery Identifies Anti-Schistosomal Small Molecules

Kimberley M. Zorn, Cecelia L. McConnon, Daniel H. Foil, 2021, ACS infectious diseases.

Chalcones from Angelica keiskei (ashitaba) inhibit key Zika virus replication proteins.

Kimberley M. Zorn, Daniel H. Foil, S. Ekins, 2022, Bioorganic chemistry.

Bioactivity Comparison across Multiple Machine Learning Algorithms Using over 5000 Datasets for Drug Discovery.

Sean Ekins, Thomas R Lane, Kimberley M. Zorn, 2020, Molecular pharmaceutics.

Using Bibliometric Analysis and Machine Learning to Identify Compounds Binding to Sialidase-1

Jennifer J Klein, Kimberley M. Zorn, Nancy C. Baker, 2021, ACS omega.

Comparing Machine Learning Algorithms for Predicting Drug-Induced Liver Injury (DILI).

Sean Ekins, Kimberley M Zorn, Thomas R Lane, 2020, Molecular pharmaceutics.

High-Throughput Phenotypic Screening and Machine Learning Methods Enabled the Selection of Broad-Spectrum Low-Toxicity Antitrypanosomatidic Agents

Kimberley M. Zorn, Daniel H. Foil, S. Ekins, 2023, Journal of medicinal chemistry.