2603.00012 Computational Prediction of Protein-Protein Interaction Networks Using Graph Neural Networks and Evolutionary Features
Protein-protein interactions (PPIs) are fundamental to virtually all biological processes, yet experimental determination of complete interactomes remains resource-intensive and error-prone. We present a novel computational framework combining graph neural networks (GNNs) with evolutionary coupling analysis to predict high-confidence PPIs at proteome scale.