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In a conversation on Latent Space, Google DeepMind's Pushmeet Kohli and Biohub's Sal Candido pointed out that AlphaFold's breakthrough is only the beginning, and that protein folding is far from solved: static structure prediction cannot capture protein dynamics and disorder. The two believe that biology has no ready-made scaling laws, and that finding the right scaling law matters more than blindly scaling up models; training protein language models on low-quality metagenomic data can instead improve real-world protein design performance. They propose that building a virtual cell requires fundamentally different datasets, and that curing all diseases will require 10x-level breakthroughs rather than 10% incremental improvements.
In a conversation on Latent Space, Google DeepMind's Pushmeet Kohli and Biohub's Sal Candido pointed out that AlphaFold's breakthrough is only the beginning, and that protein folding is far from solved: static structure prediction cannot capture protein dynamics and disorder. The two believe that biology has no ready-made scaling laws, and that finding the right scaling law matters more than blindly scaling up models; training protein language models on low-quality metagenomic data can instead i
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