Abstract

Protein-protein interactions (PPIs) are vital for cellular processes and central to understanding health and disease. Targeting these interactions with small molecules, guided by structural biology, offers a promising avenue for drug discovery, including new cancer therapies and antivirals. Advanced computational methods, particularly Artificial Intelligence, significantly enhance the prediction and analysis of PPI networks. This accelerates the identification of therapeutic targets for neurodegenerative diseases and optimizes drug design. PPIs also play critical roles in plant immunity. The continuous evolution of bioinformatics tools is essential for dissecting vast interaction data, revealing fundamental biological pathways and informing diverse therapeutic strategies