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Hong-Quan Li

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Open access Oct 2026

Protein–Protein Interface Residue Prediction by Integrating Protein Language Representations and Structural Graph Attention

Accurate residue-level prediction of protein–protein interaction interfaces is important for elucidating molecular recognition mechanisms and guiding targeted drug design. However, interface residues are relatively sparse and governed by complex spatial dependencies, making their accurate identification challenging....

Zhen Hou, Wei He, Wei-Nan Cao et al. · 0 citations
Open access Aug 2026

GAMT-GINE: A Graph Isomorphism Network Integrating Continuous Spatial Awareness and Multi-Task Learning for Protein–Ligand Binding Affinity Prediction

Comprehensive evaluations indicate that GAMT-GINE can effectively utilize continuous spatial information and heterogeneous affinity labels, achieving good predictive accuracy and cross-dataset generalization capability.

Jiarui Li, Hongquan Li, Di Wu et al. · 0 citations

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