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Protein engineers aim to discover and design novel sequences with targeted, desirable properties. Given the near limitless size of the protein sequence landscape, it is no surprise that these desirable sequences are often a relative rarity. This makes identifying such sequences a costly and time‐consuming endeavor. In this work, we show how to use a deep transformer protein language model to identify...
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