![Four big takeaways to wrap up the Paris Air Show [Video]](https://breakingdefense.com/wp-content/uploads/sites/3/2023/06/FCAS-scaled-e1685718848105.jpg?#)
![The sights of Paris Air Show, one last time: Day 4 [Photos]](https://breakingdefense.com/wp-content/uploads/sites/3/2025/06/20250617-helenedelacoste-Paris-Air-Show-037-scaled-e1750357690820.jpg?#)
AI could accelerate protein engineering - key for developing new medicines
In a study published in the journal Nature Machine Intelligence, Sheffield computer scientists in collaboration with AstraZeneca and the University of Southampton have developed a new machine learning framework that has shown the potential to be more accurate at inverse protein folding than existing state-of-the-art methods.
In a study published in the journal Nature Machine Intelligence, Sheffield computer scientists in collaboration with AstraZeneca and the University of Southampton have developed a new machine learning framework that has shown the potential to be more accurate at inverse protein folding than existing state-of-the-art methods.
