Most parts of living organisms come packaged with ribbons. The ribbons are proteins-chains of amino acids that must fold into three-dimensional structures to work properly. But when for any reason the ...

Recently identified and long-lasting type of protein misfolding — non-native entanglements — observed in all-atom protein folding simulations. Representative misfolded conformations of the small ...

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 ...

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.

"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 ...

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 ...

Artificial intelligence (AI) is transforming how scientists understand proteins—these are working molecules that drive nearly every process in the human body, from cell growth and immune defense to ...

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 ...

Overview of the PSP pipeline. Following genomic sequencing, the primary amino acid sequence is determined. The experimental method then starts with expressing this protein by genetically modifying ...