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Author

Hangchen Zhang

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Jul 2026

DeepGCL: Multi-View Graph Contrastive Learning for Enhanced Drug-Target Binding Affinity Prediction Through Protein Pocket-Drug Interaction Modeling.

DeepGCL is presented, a novel multi-modal framework that leverages multi-view graph contrastive learning to capture latent representations of pocket-drug interactions and their underlying molecular determinants and underscores the effectiveness of multi-view learning paradigms in capturing the multifaceted nature of drug-target interactions.

Hongmei Wang, Shisen Sun, Mujin Li et al. · 0 citations
Aug 2026

MSIGR-PLA: Integrating Multi-Scale Interaction and Global Representations for Protein-Ligand Affinity Prediction.

The proposed MSIGR-PLA is an integrative framework that integrates local multi-scale interaction features with global protein-ligand representations to improve the accuracy of PLA prediction and consistently outperforms existing methods on four benchmark datasets.

Hangchen Zhang, Haoran Chen, Chang Liu et al. · 0 citations