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  "documentTitle": "Absci | Investor Presentation Deck | 27 slides",
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  "presentationDate": "2023-04-01 00:00:00",
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  "notes": "The diagram illustrates the iterative, inefficient nature of conventional drug discovery (immunization/phage display) leading to suboptimal candidates.",
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      "text": "Diagram showing iterative optimization loops for affinity, developability, and toxicity leading to a suboptimal candidate.",
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      "text": "With the current paradigm, it takes 5.5 years to go from discovery to IND, with a <5% success rate from discovery to launch.",
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      "text": "Conventional methods of drug discovery involve a long, iterative process resulting in candidates with suboptimal attributes, as steps taken to optimize one attribute may worsen another. These methods are also unable to generate antibodies toward “undruggable” targets (e.g. GPCRs, ion channels), thereby limiting the diseases they are able to treat.",
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      "text": "Historically, biologic drug discovery is risky, time-consuming, and expensive - with a >90% failure rate. It takes an average of 10 years and more than $1 billion to bring just one new drug to market, limiting the scope and number of treatments that drugmakers can pursue.",
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      "text": "The drug discovery paradigm is ripe for disruption",
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      "text": "THE PROBLEM – CURRENT NEED FOR GENERATIVE AI",
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