Fabio Urbina

发表

UV-adVISor: Attention-Based Recurrent Neural Networks to Predict UV-Vis Spectra.

Sean Ekins, Maggie A. Z. Hupcey, Kushal Batra, 2021, Analytical chemistry.

TRIM67 regulates exocytic mode and neuronal morphogenesis via SNAP47

P. Brennwald, S. Gupton, D. Goldfarb, 2020, bioRxiv.

MegaSyn: Integrating Generative Molecular Design, Automated Analog Designer, and Synthetic Viability Prediction

Sean Ekins, Fabio Urbina, Christopher Lowden, 2021, ACS omega.

The Need for Speed and Efficiency: A Brief Review of Small Molecule Antivirals for COVID-19

S. Ekins, A. C. Puhl, T. Lane, 2022, Frontiers in Drug Discovery.

SNARE-Mediated Exocytosis in Neuronal Development

S. Gupton, Fabio L. Urbina, Fabio Urbina, 2020, Frontiers in Molecular Neuroscience.

Dual use of artificial-intelligence-powered drug discovery

S. Ekins, Filippa Lentzos, Cédric Invernizzi, 2022, Nature Machine Intelligence.

Machine Learning Models Identify New Inhibitors for Human OATP1B1.

S. Ekins, S. Wright, T. Lane, 2022, Molecular pharmaceutics.

Comparing LD50/LC50 Machine Learning Models for Multiple Species.

S. Ekins, Fabio Urbina, Thomas R. Lane, 2023, Journal of chemical health & safety.

Discovery of New Zika Protease and Polymerase Inhibitors through the Open Science Collaboration Project OpenZika

S. Ekins, C. Andrade, E. Muratov, 2022, J. Chem. Inf. Model..

A pair of E3 ubiquitin ligases compete to regulate axon guidance and filopodial dynamics

S. Gupton, N. Boyer, Laura E. McCormick, 2019 .

A pair of E3 ubiquitin ligases compete to regulate filopodial dynamics and axon guidance

S. Gupton, S. Menon, N. Boyer, 2019, bioRxiv.

Validation of Acetylcholinesterase Inhibition Machine Learning Models for Multiple Species

Patricia A. Vignaux, S. Ekins, A. C. Puhl, 2023, Chemical research in toxicology.

Development of a Screening Platform to Identify Small Molecules That Modify ELP1 Pre-mRNA Splicing in Familial Dysautonomia

L. Minor, R. Shetty, S. Slaugenhaupt, 2018, SLAS discovery : advancing life sciences R & D.

TRIM9-dependent ubiquitination of DCC constrains kinase signaling, exocytosis, and axon branching

R. Weinberg, S. Gupton, S. Menon, 2017, bioRxiv.

Vinculin and metavinculin exhibit distinct effects on focal adhesion properties, cell migration, and mechanotransduction

R. Superfine, S. Gupton, E. T. O'Brien, 2019, PloS one.

A teachable moment for dual-use

S. Ekins, Filippa Lentzos, Fabio L. Urbina, 2022, Nature Machine Intelligence.

Spatiotemporal organization of exocytosis emerges during neuronal shape change

S. Gomez, S. Gupton, Fabio L. Urbina, 2018, The Journal of cell biology.

Dynamic Spatiotemporal Organization of Exocytosis During Cellular Shape Change

S. Gomez, S. Gupton, Fabio L. Urbina, 2017, bioRxiv.

Automated Detection and Analysis of Exocytosis.

S. Gupton, Fabio Urbina, 2021, Journal of visualized experiments : JoVE.

The Commoditization of AI for Molecule Design.

S. Ekins, Fabio Urbina, 2022, Artificial intelligence in the life sciences.

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.

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 .

Machine Learning Models for Mycobacterium tuberculosis In Vitro Activity: Prediction and Target Visualization.

S. Ekins, S. Cole, O. Riabova, 2021, Molecular pharmaceutics.

Recent advances in drug repurposing using machine learning.

S. Ekins, A. C. Puhl, Fabio Urbina, 2021, Current opinion in chemical biology.

Coordinated Regulation of CB1 Cannabinoid Receptors and Anandamide Metabolism Stabilizes Network Activity during Homeostatic Downscaling

S. Gupton, M. Armstrong, N. Reisdorph, 2021, eNeuro.

N-Phenyl-1-(phenylsulfonyl)-1H-1,2,4-triazol-3-amine as a New Class of HIV-1 Non-nucleoside Reverse Transcriptase Inhibitor.

S. Ekins, J. Nelson, O. Riabova, 2023, Journal of medicinal chemistry.

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.

Combining DELs and machine learning for toxicology prediction.

S. Ekins, Xiaoyu Li, Fabio L. Urbina, 2022, Drug discovery today.

In Silico ADME/Tox Comes of Age: Twenty Years Later.

S. Ekins, A. C. Puhl, Fabio Urbina, 2023, Xenobiotica; the fate of foreign compounds in biological systems.

Near-Term Quantum Classification Algorithms Applied to Antimalarial Drug Discovery.

Fabio Urbina, Thomas R. Lane, Matthew A Dorsey, 2024, Journal of chemical information and modeling.