A new statistical model demonstrates the ability to correctly predict the folding mechanisms for both small and large proteins. The function of a protein is determined by its structure. From the rigid ...

On Tuesday, Google DeepMind and Isomorphic Labs announced a significant progress update on the next iteration of AlphaFold, the deep learning model that in 2020 cracked the problem of predicting a ...

The team behind DeepMind’s protein structure prediction software AlphaFold announced Oct. 31 that it is expanding its model beyond proteins. Ligands, nucleic acids, and post-translational ...

For those outside the chemistry cognoscenti, the announcement might have seemed little more than researchers patting each other on the back. But the question of protein folding had plagued scientists ...

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 ...

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.

The strategies biopharmaceutical manufacturers currently use to limit protein misfolding are complex, time-consuming, and generate low yields with only limited scalability. Covalent organic frameworks ...

While many businesses continue to seek AI’s killer app, biochemists have already found it. That application is protein folding. This week marks the five-year anniversary of the debut of Alpha Fold 2, ...

When proteins are made in a cell, they start out as strings of amino acids, which have to be folded into the correct, three-dimensional shape so they will function properly. Misfolded proteins can ...