Targeting protein protein interactions and their modulators to enable new therapeutic strategies for human diseases

Protein-protein interactions (PPIs) are essential for cellular processes and play central roles in disease mechanisms, making them important therapeutic targets. This review explores how integrating artificial intelligence (AI) and deep learning (DL) with traditional experimental approaches has advanced the mapping and analysis of PPIs. We discuss how systems biology leverages PPI networks to model diseases and identify novel therapeutic targets, and highlight challenges and future directions in multi-omics integration, AI-driven innovation, and network-based drug development.