Zhangli Lu

Orcid: 0000-0002-1592-1342

According to our database1, Zhangli Lu authored at least 11 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
NumMolFormer: an explicit functional group number-guided framework for structure-based drug design.
Bioinform., 2026

2025
TransScore: A Graph Model for Pose Scoring and Affinity Prediction Based on Transformer Convolution Network.
IEEE J. Biomed. Health Informatics, November, 2025

Unlocking Dynamic Subtle Stimuli Tactile Perception: A Deep Learning-Enhanced Super-Resolution Tactile Sensor Array with Rapid Response.
Adv. Intell. Syst., 2025

DeepDICI: Accurately Predicting Drug-Ion Channel Interactions via Deep Learning with Dynamic Structural Features.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024
Drug repositioning with adaptive graph convolutional networks.
Bioinform., 2024

2023
StackCPA: A stacking model for compound-protein binding affinity prediction based on pocket multi-scale features.
Comput. Biol. Medicine, September, 2023

DTIAM: A unified framework for predicting drug-target interactions, binding affinities and activation/inhibition mechanisms.
CoRR, 2023

2022
BACPI: a bi-directional attention neural network for compound-protein interaction and binding affinity prediction.
Bioinform., 2022

2020
NEDD: a network embedding based method for predicting drug-disease associations.
BMC Bioinform., 2020

2019
LncRNA-disease association prediction through combining linear and non-linear features with matrix factorization and deep learning techniques.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

HNEDTI: Prediction of drug-target interaction based on heterogeneous network embedding.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019


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