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2020 – today
- 2026
[j8]Zhicun Zeng, Yifan Wu, Zhangli Lu, Min Li
:
NumMolFormer: an explicit functional group number-guided framework for structure-based drug design. Bioinform. 42(4) (2026)- 2025
- [j7]Shuyao Zhou, Depeng Kong, Mengke Wang, Baocheng Wang, Yuyao Lu, Honghao Lyu, Zhangli Lu, Yong Tao, Kaichen Xu, Geng Yang:
Unlocking Dynamic Subtle Stimuli Tactile Perception: A Deep Learning-Enhanced Super-Resolution Tactile Sensor Array with Rapid Response. Adv. Intell. Syst. 7(5) (2025) - [j6]Shuyao Zhou, Depeng Kong, Mengke Wang, Baocheng Wang, Yuyao Lu, Honghao Lyu, Zhangli Lu, Yong Tao, Kaichen Xu, Geng Yang:
Unlocking Dynamic Subtle Stimuli Tactile Perception: A Deep Learning-Enhanced Super-Resolution Tactile Sensor Array with Rapid Response. Adv. Intell. Syst. 7(5) (2025) - [j5]Chuqi Lei, Wenkang Wang, Wei Fan, Zhangli Lu, Jing Tang, Min Li:
TransScore: A Graph Model for Pose Scoring and Affinity Prediction Based on Transformer Convolution Network. IEEE J. Biomed. Health Informatics 29(11): 7830-7838 (2025) - [c3]Rui Tang, Zhangli Lu, Zhicun Zeng, Ruiqing Zheng, Min Zeng, Min Li:
DeepDICI: Accurately Predicting Drug-Ion Channel Interactions via Deep Learning with Dynamic Structural Features. BIBM 2025: 1-6 - 2024
- [j4]Xinliang Sun, Xiao Jia, Zhangli Lu, Jing Tang, Min Li:
Drug repositioning with adaptive graph convolutional networks. Bioinform. 40(1) (2024) - 2023
- [j3]Chuqi Lei, Zhangli Lu, Meng Wang, Min Li:
StackCPA: A stacking model for compound-protein binding affinity prediction based on pocket multi-scale features. Comput. Biol. Medicine 164: 107131 (2023) - [i1]Zhangli Lu, Chuqi Lei, Kaili Wang, Libo Qin, Jing Tang, Min Li:
DTIAM: A unified framework for predicting drug-target interactions, binding affinities and activation/inhibition mechanisms. CoRR abs/2312.15252 (2023) - 2022
- [j2]Min Li, Zhangli Lu, Yifan Wu, Yaohang Li:
BACPI: a bi-directional attention neural network for compound-protein interaction and binding affinity prediction. Bioinform. 38(7): 1995-2002 (2022) - 2020
- [j1]Renyi Zhou, Zhangli Lu, Huimin Luo, Ju Xiang, Min Zeng, Min Li:
NEDD: a network embedding based method for predicting drug-disease associations. BMC Bioinform. 21-S(13): 387 (2020)
2010 – 2019
- 2019
- [c2]Zhangli Lu, Yake Wang, Min Zeng, Min Li:
HNEDTI: Prediction of drug-target interaction based on heterogeneous network embedding. BIBM 2019: 211-214 - [c1]Min Zeng, Chengqian Lu, Fuhao Zhang, Zhangli Lu, Fang-Xiang Wu, Yaohang Li, Min Li:
LncRNA-disease association prediction through combining linear and non-linear features with matrix factorization and deep learning techniques. BIBM 2019: 577-582
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