Protein-protein interactions (PPIs) play a crucial role in many biological processes, including signal transduction, immune response, and enzymatic reactions. Understanding the mechanisms of PPIs is essential for developing new drugs and therapies for diseases such as cancer, Alzheimer’s, and HIV. However, predicting PPIs is a challenging task due to the complexity of protein structures and the dynamic nature of the interactions.
In recent years, artificial intelligence (AI) has emerged as a powerful tool for predicting PPIs. AI algorithms can analyze large datasets of protein structures and sequences and identify patterns and relationships that are difficult for humans to detect.