Protein hydrophobicity is a fundamental driver of protein folding dynamics, underpinning the formation of a central hydrophobic core that stabilises the three-dimensional structure amid an aqueous ...

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 ...

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 ...

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 ...

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 ...

Proteins are long molecules that must fold into complex three-dimensional structures to perform their cellular functions.