Lior Pachter said “Deep Mind AlphaFold (protein folding) results are just markedly different from what a lot of other methods are producing.This is not an incremental improvement.” But protein folding ...

“We really needed to make progress on protein-ligand binding and co-folding of ligands with proteins in order to help us design more effective drugs,” said Demis Hassabis, CEO of both DeepMind ...

Two years after DeepMind’s revolutionary AI swept a competition for predicting protein structures, researchers are building on AlphaFold’s success.

Technology DeepMind's protein-folding AI cracks biology's biggest problem. Artificial intelligence firm DeepMind has transformed biology by predicting the structure of nearly all proteins known to ...

That database has been expanded 200-fold and now contains more than 200 million predicted protein structures, covering almost every organism on Earth that has had its genome sequenced—from the ...

To get AlphaFold to where it is today, first, according to the company's website, the system was exposed to 100,000 known protein folding structures. Then, as time passed, it started to learn how ...

AlphaFold, a deep-learning artificial intelligence system, predicted the structure of the estrogen receptor protein, seen in this illustration binding to DNA (purple).

DeepMind is an artificial intelligence technology that uses neural networks and machine learning to crack a broad range of problems, from protein folding to the game Go.

An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design ...

The researchers plan to refine their inverse folding model and toolkit to tackle increasingly complex and diverse protein design challenges in the future. DOI 10.1016/j.synbio.2024.01.011 ...

In living organisms, every protein—a type of biological polymer consisting of hundreds of amino acids—carries out specific functions, such as catalysis, molecule transport, or DNA repair. To ...