Improving protein–ligand docking and screening accuracies by incorporating a scoring function correction term L Zheng, J Meng, K Jiang, H Lan, Z Wang, M Lin, W Li, H Guo, Y Wei, ... Briefings in Bioinformatics 23 (3), bbac051, 2022 | 71 | 2022 |
OnionNet-2: a convolutional neural network model for predicting protein-ligand binding affinity based on residue-atom contacting shells Z Wang, L Zheng, Y Liu, Y Qu, YQ Li, M Zhao, Y Mu, W Li Frontiers in chemistry 9, 753002, 2021 | 71 | 2021 |
A fully differentiable ligand pose optimization framework guided by deep learning and a traditional scoring function Z Wang, L Zheng, S Wang, M Lin, Z Wang, AWK Kong, Y Mu, Y Wei, W Li Briefings in Bioinformatics 24 (1), bbac520, 2023 | 31 | 2023 |
Application of variational graph encoders as an effective generalist algorithm in computer-aided drug design HYI Lam, R Pincket, H Han, XE Ong, Z Wang, J Hinks, Y Wei, W Li, ... Nature Machine Intelligence 5 (7), 754-764, 2023 | 12 | 2023 |
zPoseScore model for accurate and robust protein–ligand docking pose scoring in CASP15 T Shen, F Liu, Z Wang, J Sun, Y Bu, J Meng, W Chen, K Yao, Y Mu, W Li, ... Proteins: Structure, Function, and Bioinformatics 91 (12), 1837-1849, 2023 | 4 | 2023 |
A new paradigm for applying deep learning to protein–ligand interaction prediction Z Wang, S Wang, Y Li, J Guo, Y Wei, Y Mu, L Zheng, W Li Briefings in Bioinformatics 25 (3), bbae145, 2024 | | 2024 |