Thomas R. Lane

According to our database, Thomas R. Lane authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Sequential Contrastive and Deep Learning Models to Identify Selective Butyrylcholinesterase Inhibitors.

Mustafa Kemal Ozalp, Patricia A. Vignaux, Ana C. Puhl, Thomas R. Lane, Fabio Urbina, Sean Ekins

J. Chem. Inf. Model., 2024

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

Matthew A. Dorsey, Kelvin Dsouza, Dhruv Ranganath, Joshua S. Harris, Thomas R. Lane, Fabio Urbina, Sean Ekins

J. Chem. Inf. Model., 2024

2021

Defending Antiviral Cationic Amphiphilic Drugs That May Cause Drug-Induced Phospholipidosis.

Thomas R. Lane, Sean Ekins

J. Chem. Inf. Model., 2021

Machine Learning Models Identify Inhibitors of SARS-CoV-2.

Victor O. Gawriljuk, Phyo Phyo Kyaw Zin, Ana C. Puhl, Kimberley M. Zorn, Daniel H. Foil, Thomas R. Lane, Brett Hurst, Tatyana Almeida Tavella, Fabio Trindade Maranhão Costa, Premkumar Lakshmanane, Jean Bernatchez, Andre S. Godoy, Glaucius Oliva, Jair L. Siqueira-Neto, Peter B. Madrid, Sean Ekins

J. Chem. Inf. Model., 2021

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

Victor O. Gawriljuk, Daniel H. Foil, Ana C. Puhl, Kimberley M. Zorn, Thomas R. Lane, Olga Riabova, Vadim Makarov, Andre S. Godoy, Glaucius Oliva, Sean Ekins

J. Chem. Inf. Model., 2021

Quantum Machine Learning Algorithms for Drug Discovery Applications.

Kushal Batra, Kimberley M. Zorn, Daniel H. Foil, Eni Minerali, Victor O. Gawriljuk, Thomas R. Lane, Sean Ekins

J. Chem. Inf. Model., 2021