Protein Interaction Network

Protein interaction networks (PINs) map the complex relationships between proteins within a cell or organism, aiming to elucidate biological processes and disease mechanisms. Current research heavily utilizes graph neural networks, including graph convolutional networks (GCNs) and graph attention networks (GATs), to analyze these networks, often integrating protein sequence and expression data to improve prediction accuracy in applications like disease classification and protein function prediction. These analyses reveal insights into disease subtypes, evolutionary relationships between species, and the underlying organizational principles of PINs, ultimately contributing to a deeper understanding of biological systems and informing personalized medicine strategies.