Inside every plant, animal and human cell are billions of molecular machines. They’re made up of proteins, DNA and other molecules, but no single piece works on its own. Only by seeing how they interact together, across millions of types … Read more
Protein structures predicted by AlphaFold have helped to identify candidate drug compounds.Credit: DeepMind Researchers have used the protein-structure-prediction tool AlphaFold to identify1 hundreds of thousands of potential new psychedelic molecules — which could help to develop new kinds of antidepressant. … Read more
Abstract AlphaFold changed the field of structural biology by achieving three-dimensional (3D) structure prediction from protein sequence at experimental quality. The astounding success even led to claims that the protein folding problem is “solved”. However, protein folding problem is more … Read more
The ESM Metagenomic Atlas database contains structure predictions for 617 million proteins.Credit: ESM Metagenomic Atlas (CC BY 4.0) When London-based Deep Mind unveiled predicted structures for some 220 million proteins this year, it covered nearly every protein from known organisms … Read more
Demis Hassabis (left) and John Jumper (right) from DeepMind developed AlphaFold, an AI that can predict the structure of proteins.Credit: Breakthrough Prize The researchers behind the AlphaFold artificial-intelligence (AI) system have won one of this year’s US$3-million Breakthrough prizes — … Read more
To read about all our work on solving protein folding, go to deepmind.com/AlphaFold or read a timeline of the breakthrough here. It’s been one year since we released and open sourced AlphaFold and created the AlphaFold Protein Structure Database (AlphaFold … Read more
Nature has now released that AlphaFold 2 paper, after eight long months of waiting. The main text reports more or less what we have known for nearly a year, with some added tidbits, although it is accompanied by a painstaking … Read more
