Brandon J. Bongers

According to our database, Brandon J. Bongers authored at least 6 papers between 2017 and 2024.

Collaborative distances:

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

2024

The flux and flow of data: connecting large datasets with machine learning in a drug discovery envirionment.

Brandon J. Bongers

PhD thesis, 2024

2023

Proteochemometric Modeling Identifies Chemically Diverse Norepinephrine Transporter Inhibitors.

Brandon J. Bongers, Huub J. Sijben, Peter B. R. Hartog, Andrey Tarnovskiy, Adriaan P. IJzerman, Laura H. Heitman, Gerard J. P. van Westen

J. Chem. Inf. Model., March, 2023

Papyrus: a large-scale curated dataset aimed at bioactivity predictions.

Olivier J. M. Béquignon, Brandon J. Bongers, Willem Jespers, Adriaan P. IJzerman, B. van der Water, Gerard J. P. van Westen

J. Cheminformatics, 2023

2022

Identifying Novel Inhibitors for Hepatic Organic Anion Transporting Polypeptides by Machine Learning-Based Virtual Screening.

Alzbeta Türková, Brandon J. Bongers, Ulf Norinder, Orsolya Ungvári, Virág Székely, Andrey Tarnovskiy, Gergely Szakács, Csilla Özvegy-Laczka, Gerard J. P. van Westen, Barbara Zdrazil

J. Chem. Inf. Model., 2022

2020

Successive Statistical and Structure-Based Modeling to Identify Chemically Novel Kinase Inhibitors.

Lindsey Burggraaff, Eelke B. Lenselink, Willem Jespers, Jesper E. van Engelen, Brandon J. Bongers, Marina Gorostiola González, Rongfang Liu, Holger H. Hoos, Herman W. T. van Vlijmen, Adriaan P. IJzerman, Gerard J. P. van Westen

J. Chem. Inf. Model., 2020

2017

Beyond the hype: deep neural networks outperform established methods using a ChEMBL bioactivity benchmark set.

Eelke B. Lenselink, Niels ten Dijke, Brandon J. Bongers, George Papadatos, Herman W. T. van Vlijmen, Wojtek Kowalczyk, Adriaan P. IJzerman, Gerard J. P. van Westen

J. Cheminformatics, 2017