Paul G. Francoeur

According to our database, Paul G. Francoeur authored at least 6 papers between 2019 and 2024.

Collaborative distances:

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

2024

BigBind: Learning from Nonstructural Data for Structure-Based Virtual Screening.

Michael Brocidiacono, Paul G. Francoeur, Rishal Aggarwal, Konstantin I. Popov, David Ryan Koes, Alexander Tropsha

J. Chem. Inf. Model., 2024

2021

Correction to "SolTranNet - A Machine Learning Tool for Fast Aqueous Solubility Prediction".

Paul G. Francoeur, David Ryan Koes

J. Chem. Inf. Model., 2021

SolTranNet-A Machine Learning Tool for Fast Aqueous Solubility Prediction.

Paul G. Francoeur, David Ryan Koes

J. Chem. Inf. Model., 2021

GNINA 1.0: molecular docking with deep learning.

Andrew T. McNutt, Paul G. Francoeur, Rishal Aggarwal, Tomohide Masuda, Rocco Meli, Matthew Ragoza, Jocelyn Sunseri, David Ryan Koes

J. Cheminformatics, 2021

2020

Three-Dimensional Convolutional Neural Networks and a Cross-Docked Data Set for Structure-Based Drug Design.

Paul G. Francoeur, Tomohide Masuda, Jocelyn Sunseri, Andrew Jia, Richard B. Iovanisci, Ian Snyder, David Ryan Koes

J. Chem. Inf. Model., 2020

2019

Convolutional neural network scoring and minimization in the D3R 2017 community challenge.

Jocelyn Sunseri, Jonathan E. King, Paul G. Francoeur, David Ryan Koes

J. Comput. Aided Mol. Des., 2019