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      "text": "AI predicted the affinity of unseen variants from libraries generated using diverse mutational strategies and combinatorial sequence space\nOur AI models make predictions with actionable performance using <0.1% of the combinatorial sequence space as training set\nNaturalness is associated with developability metrics and expression titer while it is inversely associated with immunogenicity metrics and mutational load\nIt is conceivable to use naturalness as a risk mitigation strategy and prioritization metric for variant candidates",
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