Now, this AlphaFold Protein Structure Database has been expanded to 200 million, including almost every protein known to science. Proteins are the workhorses of living cells, performing untold ...

DeepMind says its AlphaFold tool has successfully predicted the structure of nearly all proteins known to science. The AI lab is offering its database of over 200 million proteins to anyone for free.

Alphabet-owned AI outfit DeepMind has used its highly accurate deep learning model AlphaFold2 to predict the 3D structure of nearly every protein expressed in the human body.

DeepMind is partnering with EMBL to make the most complete and accurate database yet of the predicted human protein structures freely and openly available to the scientific community The AlphaFold ...

The SAIR database is designed to help scientists train AI models to better predict protein-ligand binding affinities for drug discovery.

The plan is to expand coverage to over 100 million structures as improvements to both AlphaFold 2 and the database come online. Above: AlphaFold 2’s prediction of a malaria parasite protein ...

In 1995, Michael Mehl, then a scientist at the U.S. Naval Research Laboratory, began collecting, cataloguing and sharing information about crystalline structures on a basic website for colleagues. ...