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 ...

Deep Mind AI predicting how proteins curl up from a linear chain of amino acids into 3D shapes that allow them to carry out life’s tasks. DeepMind AI will massively speed up drugs for protein-based ...

Lior Pachter, a professor of computational biology at the California Institute of Technology, agreed, writing on Twitter that the protein-folding problem was not "well defined." "I don't mind that ...

“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 ...

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 ...

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

Protein folding: Much more intricate ... It was during this period that he wrote down a law that every biochemist still has top of mind: ... This deep involvement of protein chaperones in most ...

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 ...

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

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