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  "documentTitle": "Absci | Investor Presentation Deck | 26 slides",
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  "notes": "The slide uses a combination of a process diagram (left) and statistical charts (right) to validate the 'naturalness' metric.",
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      "kind": "callout",
      "text": "Antibodies with higher naturalness scores have fewer developability failures** than antibodies with lower scores",
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      "text": "Antibodies with higher average naturalness scores tend to have lower median immunogenicity values*",
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      "text": "Naturalness is a score computed by pretrained language models that measures how likely it is for a given antibody sequence to be derived from an organism of interest, in our case human",
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      "text": "Training set (natural antibody sequences) to Predictions",
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      "text": "*Therapeutic antibodies and ADA responses from Marks et al, Bioinformatics 37:4041 (2021) **Developability failures as predicted by the Therapeutic Antibody Profiler (TAP) for round 3-enriched phage display hits from the Gifford library, Liu et al, Bioinformatics 36:2126 (2020)",
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