AINeutralarXiv – CS AI · 6h ago6/10
🧠
Protein Representation Learning with Secondary-Structure and Energy-Filtered Hydrogen-Bond Graphs
Researchers introduce SSProNet, a graph neural network that improves protein representation learning by incorporating secondary structure information and energy-filtered hydrogen-bond interactions. The approach demonstrates consistent improvements over existing graph-based methods while offering enhanced biological interpretability aligned with established structural motifs.