Seems like DeepMind just caused the ImageNet moment for protein folding.
Blog post isn’t that deeply informative yet (paper is promised to appear soonish). Seems like the improvement over the first version of AlphaFold is mostly usage of transformer/attention mechanisms applied to residue space and combining it with the working ideas from the first version. Compute budget is surprisingly moderate given how crazy the results are. Exciting times for people working in the intersection of molecular sciences and ML 🙂
Tweet by Mohammed AlQuraishi (well-known domain expert)
Nature published a comment on it as well