Reasoning: Language models and deep learning in protein structure prediction and design

This inference chain explains how the recent advances in deep learning and protein language models generalize beyond natural proteins and enable new capabilities for de novo protein design and structure prediction. It integrates evidence from recent benchmark studies and resource papers and addresses how neural language models extend protein universe coverage.

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