| DeepDTAF: a deep learning method to predict protein–ligand binding affinity K Wang, R Zhou, Y Li, M Li Briefings in Bioinformatics 22 (5), bbab072, 2021 | 101 | 2021 |
| RBind: computational network method to predict RNA binding sites K Wang, Y Jian, H Wang, C Zeng, Y Zhao Bioinformatics 34 (18), 3131-3136, 2018 | 43 | 2018 |
| GraphscoreDTA: optimized graph neural network for protein–ligand binding affinity prediction K Wang, R Zhou, J Tang, M Li Bioinformatics 39 (6), btad340, 2023 | 20 | 2023 |
| RLBind: a deep learning method to predict RNA–ligand binding sites K Wang, R Zhou, Y Wu, M Li Briefings in Bioinformatics 24 (1), bbac486, 2023 | 15 | 2023 |
| Computational study of non-catalytic T-loop pocket on CDK proteins for drug development H Wang, K Wang, Z Guan, Y Jian, Y Jia, F Kashanchi, C Zeng, Y Zhao Chinese Physics B 26 (12), 128702, 2017 | 12 | 2017 |
| Fusion-based deep learning architecture for detecting drug-target binding affinity using target and drug sequence and structure K Wang, M Li IEEE Journal of Biomedical and Health Informatics, 2023 | 7 | 2023 |
| DRGCL: Drug Repositioning via Semantic-enriched Graph Contrastive Learning X Jia, X Sun, K Wang, M Li IEEE Journal of Biomedical and Health Informatics, 2024 | 2 | 2024 |
| 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 | 1 | 2023 |
| LGGA-MPP: Local Geometry-Guided Graph Attention for Molecular Property Prediction L Song, H Zhu, K Wang, M Li Journal of Chemical Information and Modeling 64 (8), 3105-3113, 2024 | | 2024 |
