BACPI: a bi-directional attention neural network for compound–protein interaction and binding affinity prediction M Li, Z Lu, Y Wu, YH Li Bioinformatics 38 (7), 1995-2002, 2022 | 56 | 2022 |
NEDD: a network embedding based method for predicting drug-disease associations R Zhou, Z Lu, H Luo, J Xiang, M Zeng, M Li BMC bioinformatics 21, 1-12, 2020 | 35 | 2020 |
HNEDTI: Prediction of drug-target interaction based on heterogeneous network embedding Z Lu, Y Wang, M Zeng, M Li 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 11 | 2019 |
Drug repositioning with adaptive graph convolutional networks X Sun, X Jia, Z Lu, J Tang, M Li Bioinformatics 40 (1), btad748, 2024 | 8 | 2024 |
LncRNA–disease association prediction through combining linear and non-linear features with matrix factorization and deep learning techniques M Zeng, C Lu, F Zhang, Z Lu, FX Wu, Y Li, M Li 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 8 | 2019 |
DTIAM: A unified framework for predicting drug-target interactions, binding affinities and activation/inhibition mechanisms Z Lu, C Lei, K Wang, L Qin, J Tang, M Li arXiv preprint arXiv:2312.15252, 2023 | 2 | 2023 |
StackCPA: a stacking model for compound-protein binding affinity prediction based on pocket multi-scale features C Lei, Z Lu, M Wang, M Li Computers in Biology and Medicine 164, 107131, 2023 | 2 | 2023 |