Drug–target affinity prediction using graph neural network and contact maps M Jiang, Z Li, S Zhang, S Wang, X Wang, Q Yuan, Z Wei RSC advances 10 (35), 20701-20712, 2020 | 277 | 2020 |
Deep learning methods for molecular representation and property prediction Z Li, M Jiang, S Wang, S Zhang Drug Discovery Today 27 (12), 103373, 2022 | 130 | 2022 |
Molecule property prediction based on spatial graph embedding X Wang, Z Li, M Jiang, S Wang, S Zhang, Z Wei Journal of chemical information and modeling 59 (9), 3817-3828, 2019 | 128 | 2019 |
SAG-DTA: prediction of drug–target affinity using self-attention graph network S Zhang, M Jiang, S Wang, X Wang, Z Wei, Z Li International Journal of Molecular Sciences 22 (16), 8993, 2021 | 52 | 2021 |
Sequence-based drug-target affinity prediction using weighted graph neural networks M Jiang, S Wang, S Zhang, W Zhou, Y Zhang, Z Li BMC genomics 23 (1), 449, 2022 | 43 | 2022 |
Enhancing protein function prediction performance by utilizing AlphaFold-predicted protein structures W Ma, S Zhang, Z Li, M Jiang, S Wang, W Lu, X Bi, H Jiang, H Zhang, ... Journal of Chemical Information and Modeling 62 (17), 4008-4017, 2022 | 37 | 2022 |
MCN-CPI: multiscale convolutional network for compound–protein interaction prediction S Wang, M Jiang, S Zhang, X Wang, Q Yuan, Z Wei, Z Li Biomolecules 11 (8), 1119, 2021 | 34 | 2021 |
Toxicity prediction method based on multi-channel convolutional neural network Q Yuan, Z Wei, X Guan, M Jiang, S Wang, S Zhang, Z Li Molecules 24 (18), 3383, 2019 | 33 | 2019 |
A novel protein descriptor for the prediction of drug binding sites M Jiang, Z Li, Y Bian, Z Wei BMC bioinformatics 20, 1-13, 2019 | 30 | 2019 |
Frsite: protein drug binding site prediction based on faster r–cnn M Jiang, Z Wei, S Zhang, S Wang, X Wang, Z Li Journal of Molecular Graphics and Modelling 93, 107454, 2019 | 29 | 2019 |
Molecular property prediction based on a multichannel substructure graph S Wang, Z Li, S Zhang, M Jiang, X Wang, Z Wei IEEE Access 8, 18601-18614, 2020 | 26 | 2020 |
Predicting drug-target affinity by learning protein knowledge from biological networks W Ma, S Zhang, Z Li, M Jiang, S Wang, N Guo, Y Li, X Bi, H Jiang, Z Wei IEEE Journal of Biomedical and Health Informatics 27 (4), 2128-2137, 2023 | 24 | 2023 |
Molecular substructure tree generative model for de novo drug design S Wang, T Song, S Zhang, M Jiang, Z Wei, Z Li Briefings in bioinformatics 23 (2), bbab592, 2022 | 23 | 2022 |
Property prediction of molecules in graph convolutional neural network expansion M Meng, Z Wei, Z Li, M Jiang, Y Bian 2019 IEEE 10th International Conference on Software Engineering and Service …, 2019 | 12 | 2019 |
Hierarchical Siamese network for real-time visual tracking X Li, G Wei, M Jiang, W Zhou Expert Systems with Applications 238, 121651, 2024 | 5 | 2024 |
Computational analysis of arrhythmogenesis in KCNH2 T618I mutation-associated short QT syndrome and the pharmacological effects of quinidine and sotalol S Zhang, W Lu, F Yang, Z Li, S Wang, M Jiang, X Wang, Z Wei NPJ Systems Biology and Applications 8 (1), 43, 2022 | 5 | 2022 |
Mechanisms underlying sulfur dioxide pollution induced ventricular arrhythmia: a simulation study S Zhang, W Lu, Z Li, S Wang, M Jiang, Q Yuan, Z Wei, H Zhang 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 4 | 2020 |
A deep learning method for drug-target affinity prediction based on sequence interaction information mining M Jiang, Y Shao, Y Zhang, W Zhou, S Pang PeerJ 11, e16625, 2023 | 2 | 2023 |
Underwater image enhancement method through color correction and guide image filtering X Li, M Jiang, X Wang Proceedings of the International Conference on Computer Vision and Deep …, 2024 | | 2024 |