The chains of amino acids that make up proteins are critical to every form of life. The complex ways that these proteins fold and interact has fascinated researchers for decades. Exactly how a protein ...

Demis Hassabis (CEO of Deep Mind) and John M. Jumper have useed artificial intelligence to predict the structure of almost all known proteins. David Baker has learned how to master life’s building ...

Protein folding is a critical process by which linear chains of amino acids adopt specific three‐dimensional conformations essential for biological function. In recent years, studies have increasingly ...

CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein engineering for cancer treatment. Operating significantly faster than traditional all ...

John Jumper (S.M. ’12, Ph.D. ’17) was awarded the Nobel Prize in Chemistry in 2024 for his contributions to the development of AlphaFold, an AI model that revolutionized protein structure prediction.

When a protein folds, its string of amino acids wiggles and jiggles through countless conformations before it forms a fully folded, functional protein. This rapid and complex process is hard to ...

Structural biology is shifting from predicting protein shapes to uncovering broader organizational rules; AI tools like AlphaFold have made large-scale protein structure data far ...

"A protein must fold properly to become an enzyme or signaling molecule or whatever its function may be - all the many things that proteins do in our bodies," said University of Illinois ...

New computer simulations that model every atom of a protein as it folds into its final three-dimensional form support the existence of a recently identified type of protein misfolding. Proteins must ...