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Protein language models, trained on millions of natural protein sequences learn amino acid patterns that are likely to be seen in nature. We hypothesized that most mutations with high language model likelihood would also be evolutionarily plausible. Assuming that this is true, and if the second model (b) better describes nature, then a language model with no information about specific selection pressures can still efficiently guide evolution.

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