A new machine learning method has achieved what even AlphaFold cannot - the design of intrinsically disordered proteins (IDPs), the shape-shifting biomolecules that make up nearly 30% of all human proteins. These unstable proteins play key roles in cellular communication, sensing, and disease, yet their ever-changing structures have defied traditional AI prediction models.
A new machine learning method has achieved what even AlphaFold cannot - the design of intrinsically disordered proteins (IDPs), the shape-shifting biomolecules that make up nearly 30% of all human proteins. These unstable proteins play key roles in cellular communication, sensing, and disease, yet their ever-changing structures have defied traditional AI prediction models.
Share this Article
Recommended