The development and application of protein-protein interaction (PPI) prediction models stand for a significant advancement in the field of biology and computational biology. These models have not only improved our understanding of complex biological processes but also have far-reaching implications in drug discovery, personalized medicine, and biotechnology. By integrating diverse biological data sources, using deep learning techniques, and addressing ethical considerations, we have made substantial progress in unraveling the intricacies of PPI networks.