Order from disordered proteins
Key Takeaways
Researchers at Harvard and Northwestern have developed a machine learning method that can design intrinsically disordered proteins with custom properties, addressing nearly 30% of all human proteins that are currently out of reach of AI tools like AlphaFold.
The new approach uses automatic differentiation, traditionally a deep learning tool, to optimize protein sequences for desired properties.
The method opens new possibilities for engineering proteins, directly from physics-based models, that do not fold into a specific shape.
In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins with ...