STAT+: DeepMind touts AlphaFold’s new skills as protein-folding AI models face off
AlphaFold can now predict what proteins look like in combination with several classes of molecules — capabilities that are key for drug development.
On Tuesday, Google DeepMind and Isomorphic Labs announced a significant progress update on the next iteration of AlphaFold, the deep learning model that in 2020 cracked the problem of predicting a protein’s structure from its amino acid sequence, leapfrogging other approaches in computational biology.
Now, the companies say they have developed the model to predict not just standalone protein structures, but what proteins look like in combination with several classes of molecules, including small molecules and nucleic acids — capabilities that are key for drug development.
“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 and Isomorphic Labs, which spun out in 2021 with the goal of applying deep learning approaches to drug discovery. The updated model can also predict protein structures after they’ve been modified. “Basically the new AlphaFold can cope with all of these different things, which is pretty amazing.”
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