| Machine learning in chemoinformatics and drug discovery YC Lo, SE Rensi, W Torng, RB Altman Drug discovery today 23 (8), 1538-1546, 2018 | 759 | 2018 |
| Graph convolutional neural networks for predicting drug-target interactions W Torng, RB Altman Journal of chemical information and modeling 59 (10), 4131-4149, 2019 | 246 | 2019 |
| 3D deep convolutional neural networks for amino acid environment similarity analysis W Torng, RB Altman BMC bioinformatics 18, 1-23, 2017 | 147 | 2017 |
| High precision protein functional site detection using 3D convolutional neural networks W Torng, RB Altman Bioinformatics 35 (9), 1503-1512, 2019 | 58 | 2019 |
| Substrate stiffness regulates filopodial activities in lung cancer cells YR Liou, W Torng, YC Kao, KB Sung, CH Lee, PL Kuo PLoS One 9 (2), e89767, 2014 | 35 | 2014 |
| Biological and functional relevance of CASP predictions T Liu, S Ish‐Shalom, W Torng, A Lafita, C Bock, M Mort, DN Cooper, ... Proteins: Structure, Function, and Bioinformatics 86, 374-386, 2018 | 11 | 2018 |
| Improving Hit-finding: Multilabel Neural Architecture with DEL K Han, S Kearnes, J Xu, W Torng, JW Feng NeurIPS 2021 AI for Science Workshop, 2021 | 2 | 2021 |
| Enhancing molecular selectivity using Wasserstein distance based reweighing W Torng, P Worah preparation, 2022 | 1 | 2022 |
| A deep learning approach for the discovery of tumor-targeting small organic ligands from DNA-Encoded Chemical Libraries W Torng, I Biancofiore, S Oehler, J Xu, J Xu, I Watson, B Masina, L Prati, ... bioRxiv, 2023.01. 25.525453, 2023 | | 2023 |
| Predicted Binders for MNK2 but not MNK1 Protein Targets from Machine Learning P Worah, W Torng, JW Feng | | 2022 |
| Deep Neural Networks for 3D Protein Structural Analysis W Torng Stanford University, 2019 | | 2019 |
| Dynamics of cancer-cell filopodia on substrates of different stiffness. YR Liou, YC Kao, W Torng, PL Kuo MOLECULAR BIOLOGY OF THE CELL 23, 2012 | | 2012 |
