AI has just achieved what even Google’s AlphaFold couldn’t - designing the human body’s most elusive proteins, known as Intrinsically Disordered Proteins (IDPs). These shape-shifting molecules, which make up nearly 30% of all human proteins, are vital for cell communication and disease control, but their unstable nature has long puzzled scientists.

Now, researchers from Harvard University and Northwestern University have developed a machine learning algorithm that uses automatic differentiation and physics-based simulations to design these unstable proteins from scratch. Unlike traditional AIs that merely predict protein structures, this system actually understands how small changes in amino acids affect real behavior.

This revolutionary method could transform synthetic biology and drug discovery, enabling scientists to design tailor-made proteins to combat diseases like Parkinson’s, Alzheimer’s, and cancer. The discovery also opens new doors in molecular engineering, allowing creation of sensors, medical materials, and smart biomolecules.