Researchers at Google DeepMind have developed AlphaFold 3, an AI model that can predict the structure of and interactions between biological molecules including proteins, DNA and RNA, and small ...

That was the big breakthrough that DeepMind achieved with AlphaFold: it meshed machine learning with real biological data to predict the shape of some 200 million protein structures. Armed with ...

The latest version of Google DeepMind and Isomorphic Labs’ AlphaFold model can predict the structure and relationships not only of proteins, but “all of life’s molecules”, according to its ...

DeepMind partnered with the European Molecular Biology Laboratory (EMBL) to come up with the AlphaFold database, which predicts the three-dimensional structures of the human proteome – nearly ...

Mapping proteins unlocks clues to preventing and treating illnesses. Here’s how DeepMind’s AlphaFold is accelerating this research exponentially. In 1997, while Demis Hassabis was a student at ...

Under founder and CEO Demis Hassabis, DeepMind has been responsible for several huge leaps in AI technology, including AlphaGo, AlphaFold, WaveNet, AlphaCode and Google's Gemini large language model.

Hassabis, 48, CEO and co-founder of Google DeepMind, developed the AI model AlphaFold to predict protein structure with company co-founder John Jumper. Proteins are made up of amino acids linked ...