The developers of OpenFold3 have released an early version of the tool, which they hope will one day perform on par with DeepMind’s protein-structure model.

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 ...

DnaK/DnaJ or Trigger factor and find that chaperone dependence during primary biogenesis in vivo does not track with ...

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 ...

With a newly developed method that compares AI-generated protein sequences with naturally occurring ones, function- and ...

This year’s awards were given to scientists who helped doctors see the retina and used artificial intelligence to predict the shapes of cellular proteins. By Noah Weiland and Cade Metz The prestigious ...

Researchers at the lab of Nobel laureate David Baker have already developed protein minibinders that perform a similar ...

In order to fulfill their many functions, proteins must be folded into the correct shape. Researchers at the University of Basel have now discovered tiny "folding factories" in cells that enable ...

Harvard and Northwestern researchers combine AI and physics to design unstable proteins that comprise the dark proteome.

Virtual screening methods fall broadly into two categories: ligand- and structure-based. Ligand-based virtual screening doesn’t require a target protein structure, Instead, it leverages known active ...