{
  "docId": "019de071-eb84-776b-8e7d-ce40a476afec",
  "docSlug": "ee62a94395a2a2b10c5eb93465b3bf02",
  "documentTitle": "Kymera | Investor Day Presentation Deck | 105 slides",
  "authorId": "kymera",
  "authorName": "Kymera",
  "documentKindSlug": "conference-presentation",
  "documentKindLabel": "Conference presentation",
  "sourceTypeSlug": "investor_relations",
  "sourceTypeLabel": "Investor relations",
  "presentationDate": "2021-12-01 00:00:00",
  "orientation": "landscape",
  "aspectRatio": 1.7777778,
  "pageNumber": 94,
  "pageCount": 105,
  "prevPage": 93,
  "nextPage": 95,
  "slideType": "appendix_data",
  "function": "analyze_data",
  "density": "overcrowded",
  "nDataPoints": 48,
  "notes": "The table demonstrates a clear progression in optimization from Degrader 1 to Degrader 4, particularly in oral bioavailability (F%) across species.",
  "elementsJson": null,
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019de071-eb84-776b-8e7d-ce40a476afec/94",
  "deckHref": "/decks/019de071-eb84-776b-8e7d-ce40a476afec",
  "deckJsonHref": "/decks/019de071-eb84-776b-8e7d-ce40a476afec.json",
  "deckAnchorHref": "/decks/019de071-eb84-776b-8e7d-ce40a476afec#slide-94",
  "components": [
    {
      "bbox": {
        "h": 0.22,
        "w": 0.25,
        "x": 0.08,
        "y": 0.18
      },
      "kind": "image",
      "text": "Ternary Complex Modeling (TCM) illustration",
      "attrs": null,
      "subkind": "illustration",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "13fd1b17-1fdc-4797-a638-dcd5bb66b0d0",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.22,
        "w": 0.23,
        "x": 0.69,
        "y": 0.18
      },
      "kind": "image",
      "text": "AI-driven Insights illustration",
      "attrs": null,
      "subkind": "illustration",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "a28665be-da6c-437c-a930-c294020151b4",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.22,
        "w": 0.18,
        "x": 0.41,
        "y": 0.18
      },
      "kind": "image",
      "text": "Molecular Chameleonicity illustration",
      "attrs": null,
      "subkind": "illustration",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "b039f8b0-3aa4-460e-ac69-228d505ead87",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.28,
        "x": 0.67,
        "y": 0.4
      },
      "kind": "subtitle",
      "text": "AI-driven Insights: Leveraging deep-learning to derive design insights from in silico and in vitro data",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "150b471c-fbe9-4082-8ef3-6b1dee6bcbdd",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.3,
        "x": 0.05,
        "y": 0.4
      },
      "kind": "subtitle",
      "text": "Ternary Complex Modeling (TCM): Harnessing the power of cloud computing and AI to evaluate millions of TCM models",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "4b7847b0-932c-483b-93bb-2aa6d04dc069",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.1,
        "w": 0.28,
        "x": 0.36,
        "y": 0.4
      },
      "kind": "subtitle",
      "text": "Molecular Chameleonicity: Accurately capturing the chameleonic nature of degraders to predict ADME/PK profile",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f441295e-941a-41ec-a0fe-89075f29f9ac",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.3,
        "w": 0.9,
        "x": 0.05,
        "y": 0.6
      },
      "kind": "table",
      "text": "DMPK Properties table for Degraders 1-4",
      "attrs": null,
      "subkind": "data",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "c7c469f4-c7c9-4234-aea6-8013359ae158",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.9,
        "x": 0.05,
        "y": 0.11
      },
      "kind": "title",
      "text": "Pre-clinical Optimization of Degraders Leads to High Oral Bioavailability Across Pre-clinical Species",
      "attrs": null,
      "subkind": "action-title",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "d839bc34-1fa4-4277-9b8e-455d2877f667",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.08,
        "w": 0.9,
        "x": 0.05,
        "y": 0.03
      },
      "kind": "title",
      "text": "Kymera Can Develop Degraders with Predictable Drug-Like Properties",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "90d1750e-2d99-4ea6-96bc-b02985ab980b",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [],
  "arcBeats": [],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}