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  "documentTitle": "Exscientia | Investor Presentation Deck | 73 slides",
  "authorId": "exscientia",
  "authorName": "Exscientia",
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  "presentationDate": "2023-07-01 00:00:00",
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  "notes": "The chart illustrates a Pareto front analysis in drug discovery, highlighting the selection of compounds that are not necessarily 'optimal' by standard metrics but provide high information value.",
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      "kind": "chart",
      "text": "Pareto front scatter plot showing CNS Score vs Potency",
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      "text": "20 compounds (square) are selected by active learning chemical coverage; other compounds (circles) were not selected",
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      "text": "Our active learning approach selected compounds both close to and away from the pareto front (dotted arch) using a combination of MPO and coverage score. \"Seemingly unattractive\" compounds, 1&2, were identified, away from the pareto front. 1&2 were non-optimal on any predicted property but were structurally different. Structures were synthesised and tested – this new scaffold providing a better starting point to achieve the TPP. Further cycles of design refined hits to produce ‘539",
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      "text": "Counterintuitive selection went against preconceptions to break dogma",
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      "text": "Active learning enabled breakthrough for ‘539",
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