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  "documentTitle": "Absci | Investor Presentation Deck | 48 slides",
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  "notes": "Case study slide showing correlation metrics (Pearson, Spearman, RMSE) and a histogram comparing predicted affinity to Trastuzumab.",
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      "text": "Bachas, S., Rakocevic, G. et al., “Antibody optimization enabled by artificial intelligence predictions of binding affinity and naturalness,” 2022 pre-print in bioRxiv.",
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      "text": "HIGH AFFINITY PREDICTIONS: Models can find variants with higher affinity than seen in training data. 92 of top 100 predicted high-affinity variants bind tighter than trastuzumab.",
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