2024-06-25
ESM3 is out from EvolutionaryScale! 98B params (~GPT3 scale). Multimodal over sequence, structure, and function with cool design applications. Trained on variable masking ratios and decodes proteins iteratively. Some work on alignment too. Looks exciting! https://www.evolutionaryscale.ai/ ...
Reuters
EvolutionaryScale releases AI models called ESM3 to help engineer novel proteins and raised a $142M seed led by Nat Friedman, Daniel Gross, and Lux Capital
2024-05-09
AlphaFold 3 is out! As expected expands coverage to small molecules and nucleic acids. And replaces the structure module with a diffusion-based one. Unfortunately no code or model weights—just a web server for a limited set of ligands: https://blog.google/...
Financial Times
Google DeepMind and Isomorphic Labs detail AlphaFold 3, an AI model to predict interactions and structures of proteins, DNA, RNA, more, beating many top methods
DeepMind adds a diffusion engine to latest protein-folding software … Glyn Moody / @glynmoody@mastodon.social : AlphaFold 3 predicts the structure and interactions of all of life's...
@MartinPacesa Not to excuse the lack of real code, but the pseudocode in the SI is reasonably detailed. Some pieces may yet be missing of course.
Financial Times
Google DeepMind and Isomorphic Labs detail AlphaFold 3, an AI model to predict interactions and structures of proteins, DNA, RNA, more, beating many top methods
DeepMind adds a diffusion engine to latest protein-folding software … Glyn Moody / @glynmoody@mastodon.social : AlphaFold 3 predicts the structure and interactions of all of life's...
2023-11-01
Interesting status update from DeepMind on AlphaFold (just that, no model, paper, or code). All atom version in the works (similar to RFAA). Meaningful gains on small molecules but far from ‘solved’ (think AF1 vs AF2). Same w/nucleic acids and antibodies. [image]
TechCrunch
DeepMind says its latest AlphaFold model can generate predictions for nearly all molecules in the Protein Data Bank and for ligands, nucleic acids, and more
Kyle Wiggers / TechCrunch :