How we are computing 'invisible' protein states for AI
Researchers are developing computational methods to model intrinsically disordered proteins (IDPs), which lack a fixed structure and are linked to diseases like cancer and Alzheimer's. By simulating these 'invisible' protein states, AI can better predict their behavior, offering new avenues for drug discovery and understanding biological processes.