Deep Prior Framework: integrating functional specificity with general plausibility for targeted protein evolution.

Abstract excerpt

The efficiency of directed protein evolution largely relies on computational methods to enrich mutants with high fitness. Traditional strategies, such as zero-shot approaches based on Protein Language Models (PLMs), primarily leverage general "plausibility" priors learned from natural sequences. However, in the absence of experimental feedback, their ability to guide evolution toward specific functions...

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