| Beyond the hype: deep neural networks outperform established methods using a ChEMBL bioactivity benchmark set EB Lenselink, N Ten Dijke, B Bongers, G Papadatos, HWT Van Vlijmen, ... Journal of cheminformatics 9, 1-14, 2017 | 319 | 2017 |
| The RESOLUTE consortium: unlocking SLC transporters for drug discovery G Superti-Furga, D Lackner, T Wiedmer, A Ingles-Prieto, B Barbosa, ... Nature reviews Drug discovery 19 (7), 429-430, 2020 | 79 | 2020 |
| Proteochemometrics–recent developments in bioactivity and selectivity modeling BJ Bongers, AP IJzerman, GJP Van Westen Drug Discovery Today: Technologies 32, 89-98, 2019 | 41 | 2019 |
| Papyrus: a large-scale curated dataset aimed at bioactivity predictions OJM Béquignon, BJ Bongers, W Jespers, AP IJzerman, B van der Water, ... Journal of cheminformatics 15 (1), 3, 2023 | 32 | 2023 |
| Characterization of cancer-related somatic mutations in the adenosine A2B receptor X Wang, W Jespers, BJ Bongers, MCCH Jansen, CM Stangenberger, ... European Journal of Pharmacology 880, 173126, 2020 | 22 | 2020 |
| Beyond the hype: deep neural networks outperform established methods using a ChEMBL bioactivity benchmark set. J Cheminform 9: 45 EB Lenselink, N Ten Dijke, B Bongers, G Papadatos, HWT van Vlijmen, ... | 22 | 2017 |
| Identifying novel inhibitors for hepatic organic anion transporting polypeptides by machine learning-based virtual screening A Tuerkova, BJ Bongers, U Norinder, O Ungvári, V Székely, A Tarnovskiy, ... Journal of Chemical Information and Modeling 62 (24), 6323-6335, 2022 | 16 | 2022 |
| Successive statistical and structure-based modeling to identify chemically novel kinase inhibitors L Burggraaff, EB Lenselink, W Jespers, J van Engelen, BJ Bongers, ... Journal of Chemical Information and Modeling 60 (9), 4283-4295, 2020 | 7 | 2020 |
| Proteochemometric modeling identifies chemically diverse norepinephrine transporter inhibitors BJ Bongers, HJ Sijben, PBR Hartog, A Tarnovskiy, AP IJzerman, ... Journal of Chemical Information and Modeling 63 (6), 1745-1755, 2023 | 5 | 2023 |
| Pan-cancer functional analysis of somatic mutations in G protein-coupled receptors BJ Bongers, M Gorostiola González, X Wang, HWT van Vlijmen, ... Scientific Reports 12 (1), 21534, 2022 | 5 | 2022 |
| Pan-cancer in silico analysis of somatic mutations in G-protein coupled receptors: The effect of evolutionary conservation and natural variance BJ Bongers, MG González, X Wang, HWT van Vlijmen, W Jespers, ... bioRxiv, 2021.10. 25.465693, 2021 | 5 | 2021 |
| The flux and flow of data: connecting large datasets with machine learning in a drug discovery envirionment BJ Bongers Leiden University, 2024 | | 2024 |
| Chapter five Successive Statistical and Structure-Based Modeling to Identify Chemically Novel Kinase Inhibitors L Burggraaff, EB Lenselink, W Jespers, J van Engelen, BJ Bongers | | |
| Brandon J. Bongers Abstract BJ Bongers, P Hartog, HJ Sijben, LH Heitman, AP IJzerman, ... | | |
| Target Fishing, QSAR, PCM, or Deep Learning? Which Method to Use for Public Data Modeling and When to Use It EB Lenselink, B Bongers, N ten Dijke, G Papadatos, W Kowalczyk, ... | | |
Prof. Gerard JP van WestenPI Computational Drug Discovery (Professor AI & Med Chem, Leiden University)在 gjpvanwesten.nl 的电子邮件经过验证
