LNGCN: A Distance-Aware Dynamics Network for Protein-Protein Interaction Prediction (opens in new tab)

High-throughput accurate protein-protein interaction (PPI) prediction is foundational to systems-level biological understanding, disease mechanism dissection, and structure-based drug discovery. Traditional graph convolutional networks (GCNs) are limited by discrete information propagation, layer-wise representation homogenization, and absent continuous-time state evolution, failing to capture residues' 3D spatial hierarchical dynamic binding patterns. We present LNGCN, a hybrid framework int...