Recursion Pharmaceuticals, Inc. · NASDAQ:RXRX

Recursion Pharmaceuticals — Q3 2022 Earnings Presentation

40 slides from Recursion Pharmaceuticals's earnings presentation, Nov 8, 2022

  1. Slide 1: Decoding Biology To Radically Improve Lives

    Decoding Biology To Radically Improve Lives i) Recursion

  2. Slide 2: Forward-looking statements

    This presentation and any accompanying discussion or documents contains information that includes or is based upon "forward-looking statements" within the meaning of the Securities Litigation Reform Act of 1995. These forward-looking statements are based on our current expectations, estimates and pr

  3. Slide 3: Opportunity: Moore's Law vs Eroom's Law

    3 Opportunity 0.1 1 10 1960 1970 1980 1990 2000 2010 2020 50B 100M 500K 1K 100 Compute Power (Transistors per Microprocessor)NME’s per $B spent (inflation adjusted) Moore’s Law: Computing power becomes faster and less expensive over time Eroom’s Law: Drug discovery is becoming slower and more expens

  4. Slide 4: Atoms to bits: profile systems, data, algorithms

    Real (atoms) Digital (bits) 1 Profile Systems Capture high-dimensional data to create a digital record of reality (things, places, preferences, etc.) Data Aggregate and organize data to create digital maps of reality Algorithms Navigate digital maps to predict novel relationships, then try them in r

  5. Slide 5: How we build maps of biology and chemistry to drive value

    How we build maps of biology and chemistry to drive value

  6. Slide 6: Novel insights at scale

    Enables quality, reliability, repeatability and scale Novel Insights at Scale different human cell types small molecule library, we believe this scale is on par with some large pharma companies arrayed CRISPR guides cytokines and soluble factors Diverse Biological and Chemical Inputs Robotic Automat

  7. Slide 7: Recursion OS relationships across five pathways

    Well-known primary relationships between key members of five pathways: JAK/STAT | SWI/SNF | TGFβ | RAS | Proteasome All primary relationships found by the Recursion OS between key members of five pathways: JAK/STAT | SWI/SNF | TGFβ | RAS | Proteasome 7

  8. Slide 8: Failing faster and earlier, spending less and going faster

    Data shown are the averages of all our programs from 2017 through 2021. All industry data adapted from Paul, et al. Nature Reviews Drug Discovery. (2010) 9, 203–214 Screen — Hit ID — Validated Lead — Advanced Candidate — Development Candidate — Industry Recursion Failing faster and earlier to › › sp

  9. Slide 9: Pipeline by therapeutic area and indication

    PreclinicalLate Discovery Oncology Rare & Other All populations defined above are US and EU5 incidence unless otherwise noted. EU5 is defined as France, Germany, Italy, Spain and UK. (1) Our program has the potential to address a number of indications driven by MYC alterations, totalling 54,000 pati

  10. Slide 10: Pipeline and partnership strategy

    Internal Pipeline - Rare Genetic Diseases Partnership strategy Inter al Pipeline Discovery Partnerships • Build wholly-owned pipeline in indications with potential for accelerated path to approval Pipeline strategy • Partner in complex therapeutic areas requiring large financial commitment and compe

  11. Slide 11: Bayer and Roche-Genentech partnership terms

    Fibrosis Neuroscience *and a single oncology indication • $30M upfront and $50M equity investment • Up to or exceeding $1.2B in milestones for up to or exceeding 12 programs • Mid single-digit royalties on net sales • Recursion owns all algorithmic improvements • $150M upfront and up to or exceeding

  12. Slide 12: Novel efficacy and insights at scale

    Novel efficacy and insights at scale Near-Term Today Medium-Term Automated molecular microsynthesis at scale Recursion OS enables quality, reliability, repeatability and scale Continued digital chemistry, SAR and predictive ADMET OS build Leverage new datasets and technology to improve translation,

  13. Slide 13: How we navigate maps of biology and chemistry

    How we navigate maps of biology and chemistry to turn drug discovery into a search problem 13

  14. Slide 14: Whole-genome arrayed CRISPR knock-out map

    This is a whole-genome arrayed CRISPR knock-out Map generated in primary human endothelial cells Every gene is represented in a pairwise way (each is present in columns and rows) Dark Red indicates phenotypic similarity according to our neural networks while Dark Blue indicates phenotypic anti- simi

  15. Slide 15: Mitochondrial-related gene clusters

    Many known mitochondrial-related genes cluster together along with a few less well-known genes 15

  16. Slide 16: JAK/STAT pathway clustering

    JAK1 JAK1 The JAK / STAT pathway clustered by strength of interaction, including both similar genes (red) and ‘opposite’ genes (blue) – note that both expected and less well-known genes can serve as novel hypotheses 16

  17. Slide 17: Proteasome clusters

    20S Subunit 26S Subunit The 20S and 26S proteosomes form expected clusters that give confidence in this Map, one of many we have built – however, the most exciting elements of each map are the tens of thousands of unknown and unexplored high- confidence relationships 17

  18. Slide 18: REC-65029 in HRD-negative ovarian cancer

    Gene A CDK12 2.5μM 1.0μM 0.1μM 0.25μM REC-65029 • Goal: Identify potential first-in-class tumor-targeted precision therapeutic NCE with novel MOA capable of potentially treating HRD-negative ovarian cancer • Phenomap insight: Inhibition of target Gene A (for example, with REC-65029) may mimic inhibi

  19. Slide 19: Recursion's Clinical Programs

    Recursion’s Clinical Programs 19

  20. Slide 20: REC-994 in cerebral cavernous malformation

    US + EU5 PREVALENCE CAUSE LOF mutations in genes CCM1, CCM2 & CCM3, key for maintaining the structural integrity of the vasculature due to unknown mechanisms PATHOPHYSIOLOGY Vascular malformations of the CNS leading to focal neurological deficits, hemorrhage and other symptoms OUR REASON TO BELIEVE

  21. Slide 21: REC-2282 in NF2 meningioma

    US + EU5 PREVALENCE CAUSE LOF mutations in NF2 tumor suppressor gene PATHOPHYSIOLOGY Inherited rare CNS tumor syndrome leading to loss of hearing and mobility, other focal neurologic deficits OUR REASON TO BELIEVE Efficacy in Recursion OS, cellular, and animal models; suppression of aberrant ERK, AK

  22. Slide 22: REC-4881 in familial adenomatous polyposis

    US + EU5 PREVALENCE CAUSE Inactivating mutations in the tumor suppressor gene APC PATHOPHYSIOLOGY Polyps throughout the GI tract with extremely high risk of malignant transformation OUR REASON TO BELIEVE Efficacy in the Recursion OS shows that specific MEK 1/2 inhibitors had an effect in context of

  23. Slide 23: REC-3964 in C. difficile colitis

    US + EU5 PREVALENCE CAUSE Release of C. difficile toxins by colonizing bacterium causes degradation of colon cell junction, toxin transit to bloodstream, and morbidity to host PATHOPHYSIOLOGY Highly recurrent infectious disease with severe diarrhea, colitis, and risk of toxic megacolon, sepsis, and

  24. Slide 24: REC-4881 in AXIN1/APC mutant cancers

    PREVALENCE CAUSE LOF mutations in AXIN1/APC tumor suppressor genes PATHOPHYSIOLOGY Alterations in the WNT pathway are found in a wide variety of tumors, in particular HCC and Ovarian cancers, and confer poor prognosis and resistance to standard of care OUR REASON TO BELIEVE Efficacy in the Recursion

  25. Slide 25: ESG highlights

    Advanced degreesEmployees Team Members ~500 43% ESG Highlights Data shown reflective of Q3 2022 and Recursion’s 2022 ESG report ✓ Inaugural ESG report in 2022 – reporting on Healthcare and Technology Metrics ✓ 100% of electricity powering our Biohive-1 supercomputer comes from renewable sources 44%

  26. Slide 26: Executive team and board of directors

    Board of Directors TINA LARSON President & COO Executive Team DEAN LI, MD/PHD RXRX Co-Founder, President of Merck Research Labs ROB HERSHBERG, MD/PHD Co-Founder/CEO/Chair of HilleVax, Former EVP, CSO & CBO at Celgene BLAKE BORGESON, PHD RXRX Co-Founder, Board Member Machine Intelligence Research Ins

  27. Slide 27: Strong financials and recent highlights

    Strong Financials ~$455M in cash and cash equivalents at the end of Q3 2022 (excludes recent equity offering) • Expanded Bayer collaboration to use mapping and navigating techniques to explore fibrotic diseases • Announced transformational collaboration with Roche-Genentech focused on neuroscience •

  28. Slide 28: Impact

    Impact 28

  29. Slide 29: Recursion's Notable Preclinical Oncology Programs

    Recursion’s Notable Preclinical Oncology Programs 29

  30. Slide 30: REC-648918 checkpoint therapy resistance

    • Immunotherapy-induced markers of inflammation are reduced in the periphery • IFN-ɣ increased in plasma under immunotherapy but was suppressed in combination with REC-648918 • Higher relative levels of IFN-ɣ were maintained under combination treatment Gene B Gene B REC- 648918 REC-648918 BIRC2 Gene

  31. Slide 31: REC-64151 in STK11 mutant cancers

    • Goal: Identify novel compounds capable of re-sensitizing tumors to checkpoint therapy in STK11 mutant cancers • Phenomap insight: Novel class of compounds (REC-64151) inferred to rescue loss of STK11 • Result: REC-64151 restores anti-PD1 (aPD1) response of STK11 mutant CT26 tumors (Fig. A, B) and

  32. Slide 32: MYC-driven oncology compounds

    -2 -1 0 1 2 0 50 100 % P ro li fe ra ti o n I n h ib it io n PC-12 MSTO-211H MV-4-11 HL-60 REC-142221 Conc. (Log, uM) -2 -1 0 1 2 0 50 100 % P ro li fe ra ti o n I n h ib it io n REC-136467 Conc. (Log, uM) -2 -1 0 1 2 0 50 100 % P ro li fe ra ti o n I n h ib it io n PC-12 MSTO-211H MV-4-11 HL-60 MYC

  33. Slide 33: oO G [=

    8 6 oO G [= 2 2 3 33

  34. Slide 34: Recursion is a clinical stage TechBio company

    Recursion is a clinical stage TechBio company Mapping and Navigating biology and chemistry with the goal of bringing better medicines to patients faster and at lower cost via an Internal Pipeline and Partnerships The Leading TechBio Mission is to decode biology to radically improve lives >150 biolog

  35. Slide 35: Top-20 pharma vs AI-native drug discovery assets

    Images adapted from Jayatunga, M., et al. Nature Reviews Drug Discovery 2022. 35 Top-20 Pharma Companies AI-Native Drug Discovery Companies 705 768 708 602 575 641 686 709 519 439 393 333 0 500 1,000 1,500 2,000 2,500 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 Discovery / Preclinica

  36. Slide 36: Traditional approach vs Recursion map-based approach

    World’s literature reviewed People generate hypotheses Hypotheses validated in low dimensional assays 1. Millions of disparate journal articles and publications 2. Many data cannot be independently replicated 3. Human-selected low dimensional assays prone to confirmation bias 4. Humans prone to conf

  37. Slide 37: Illustrative partnership value inflection points

    Program 1 Program 1 Program 1 Program 1 Program 1 Program 1 Program 1 Illustrative example of potential value inflection points Upfront Fee Programs 2 through N Programs 2 through N Programs 2 through N Programs 2 through N Programs 2 through N Collaboration Timeline Programs 2 through N Programs 2

  38. Slide 38: COVID-19 RxRx19 predictions

    Drug Prediction Correct? Hydroxychloroquine x ✓ Lopinavir x ✓ Ritonavir x ✓ Remdesivir ✓ ✓ Baricitinib ✓ ✓ Tofacitinib ✓ ✓ Ivermectin x ✓ Fluvoxamine x ✓ Dexamethasone x x • Recursion conducted several AI-enabled experiments in April 2020 to investigate therapeutic potential for COVID-19 - Drugs inv

  39. Slide 39: Recursion is a leading TechBio company

    Recursion is a leading TechBio company Computational focused, known biology Felease Date: March 3,2022 Recursion engaged Frost & Sullvan to perform ths ancysis ti Mature internal pipeline, large strategic partnerships, advanced computational resources Schrodinger @ tale @ Valo Health es ee ee ee ee

  40. Slide 40: Scaling like a technology company

    • Growth in capabilities, proprietary data, programs, and partnerships • Increasing business opportunities • Reducing binary risks We are a biotechnology company scaling more like a technology company, as demonstrated by our growth in inputs (experiments) and growth in outputs (data, biological and

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