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Linguistically inspired roadmap for building biologically reliable protein language models - Nature Machine Intelligence

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Linguistically inspired roadmap for building biologically reliable protein language models - Nature Machine Intelligence

Deep neural-network-based language models (LMs) are increasingly applied to large-scale protein sequence data to predict protein function. However, being largely black-box models and thus challenging to interpret, current protein LM approaches do not contribute to a fundamental understanding of sequence–function mappings, hindering rule-based biotherapeutic drug development.

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Linguistically inspired roadmap for building biologically reliable protein language models - Nature Machine Intelligence

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Linguistically inspired roadmap for building biologically reliable protein language models - Nature Machine Intelligence

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