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Why AlphaFold didn't solve protein folding, per DeepMind and Biohub

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DeepMind's Pushmeet Kohli and Biohub's Sal Candido explain why AlphaFold has not solved protein dynamics. They discuss why scaling compute and data alone is insufficient for biology, how protein language models encode structure, function, and evolution, and what better biological data and virtual cells could enable for 10–100x faster drug discovery.

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Why AlphaFold Didn't Solve Protein Folding: The Bitter Lesson of Biology, Virtual Cells, & Curing All Disease https://www.latent.space/p/biohub-deepmind

@GoogleDeepMind’s @pushmeet and @biohub’s @salcandido explain why AlphaFold's breakthrough hasn't solved protein dynamics, why scaling AI compute and data alone isn't enough to understand biology, how protein language models contain hidden knowledge about structure, function, and evolution, why future frontier models may understand other AI systems better than humans, how better biological data and virtual cells could unlock the next wave of breakthroughs, and what it will take to achieve 10–100x faster drug discovery on the path to curing all disease.

Source: Latent.Space · x.comPublished · added here