Absci Corporation · NASDAQ:ABSI

Absci — Investor Presentation (March 2025)

67 slides from Absci's investor presentation, Mar 18, 2025

  1. Slide 1: Corporate Presentation Spring 2025

    from absci import de_novo_model model = de_novo_model.load_latest() antigen = model.load_pdb("7olz.pdb", chain="A") antibodies = model.predict(antigen, N=300000) from absci_library import codon_optimizer library = codon_optimizer.reverse_translate(library) library.to_csv("covid-antibody-designs.csv"

  2. Slide 2: Disclaimers

    2C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . Disclaimers Forward-Looking Statements Certain statements in this presentation that are not historical facts are considered forward-looking within the meaning of Section 27A of the Securities Act of 19

  3. Slide 3: Absci is a data-first generative AI Drug Creation company

    3C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . P L A T F O R M V A L I D A T E D T H R O U G H I N D U S T R Y - L E A D I N G P A R T N E R S H I P S I N C L U D I N G W I T H A S T R A Z E N E C A , M E R C K , N V I D I A , & A M D D I F F E R E

  4. Slide 4: Ingredients for Success: leadership in AI de novo antibody design

    4C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . LEADING AI MODELS Leading de novo AI model for antibody design with proof- points in internal and partnered programs DATA ADVANTAGE Proprietary ultra-high throughput data generation in 77,000+ ft2 lab

  5. Slide 5: Amassing high-quality data at scale for AI model training and validation

    5C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . Since 2020 Absci has been amassing high-quality data at scale for AI model training and validation DATA TO TRAIN Proprietary High throughput screening assays generate high- quality data for generative

  6. Slide 6: Leadership in AI de novo design of antibody-based therapeutics

    6C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . Leadership in AI de novo design of antibody-based therapeutics EVQLSEVGA . . . de novo antibody design model creates epitope-specific binders given a target structure Designed in framework of choice or

  7. Slide 7: We use AI to create novel & differentiated therapeutics

    7C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . ENABLING FEATURES: MULTI-VALENCY, pH-DEPENDENT BINDING ABILITY TO ADDRESS DIFFICULT TARGET CLASSES, E.G. GPCRS EPITOPE-SPECIFIC DESIGN + EPITOPE INTERFACE OPTIMIZATION BROAD IP: 100S TO 10,000S OF FUNC

  8. Slide 8: Leveraging AI throughout the end-to-end drug discovery process

    8C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . Leveraging AI throughout the end-to-end drug discovery process I N T E G R A T E D D R U G C R E A T I O N P L A T F O R M TARGET SELECTION AI reverse immunology target discovery OR Additional Target S

  9. Slide 9: Absci continues to rapidly progress and lead the field

    9C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . de novo Model v1 Absci was the first to design and validate novel antibodies using zero-shot generative AI in BioRxiv preprint de novo Model v2 Demonstrated de novo design model’s broad applicability t

  10. Slide 10: Platform Case Studies

    10C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . Platform Case Studies AI LEAD OPTIMIZATIONDE NOVO ANTIBODY DESIGN Goal: create universally neutralizing HIV antibody by binding conserved epitope within “caldera” region of HIV gp120 Absci’s de novo d

  11. Slide 11: Multilingual team with expertise in AI and drug creation

    11C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . ”Multilingual” team with expertise in AI and drug creation Sean McClain Founder, CEO & Director Andreas Busch, PHD Chief Innovation Officer Zach Jonasson, PHD Chief Financial Officer & Chief Business

  12. Slide 12: AI pipeline of novel & differentiated assets

    12C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . INFL. Bowel Disease / TL1A Androgenic Alopecia / PRLR Immuno-oncology / Undisclosed 3 New Early Discovery Programs Target Lead ID Candidate ID IND-Enabling ABS-101 ABS-201 ABS-301 Phase 1 Oncology / H

  13. Slide 13: AI Drug Creation Partnerships

    13C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . AI Drug Creation™ Partnerships Data & compute collaborations 25+ PARTNERED PROGRAMS SCALING COMPUTE 4 NAMED INTERNAL PROGRAMS ADDITIONAL PROGRAMS IN EARLY DEVELOPMENT IMPROVING MODELS INCREASING EFFIC

  14. Slide 14: Near-term value inflection points

    14C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . 1H 2025 2H 20251H 2025 Leading AI platform driving numerous near-term value inflection points ABS-101 Ph 1 double-blind, placebo-controlled Clinical Trial initiation ABS-101 Phase 1 Interim Data Reado

  15. Slide 15: Absci's progress in Drug Creation

    15C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . A B S - 1 0 1 Continued progress of TL1A asset with FiH in 1H 2025 • New preclinical data supporting superior immunogenicity profile • Phase 1 Interim data readout in 2H 2025 A B S - 2 0 1 Development

  16. Slide 16: Potential best-in-class TL1A mAb designed using generative AI

    16C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . Potential best-in-class TL1A mAb designed using generative AI ABS-101 designed to achieve competitive therapeutic properties and potential for clinical differentiation A B S - 1 0 1 T L 1 A Higher aff

  17. Slide 17: Clinically validated mechanism of action in large underserved market

    17C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . Inflammation Fibrosis Clinically Validated Mechanism of Action in Large Underserved Market A B S - 1 0 1 T L 1 A D A T A H I G H L I G H T S T L 1 A : D R 3 S I G N A L I N G C L I N I C A L L Y S H O

  18. Slide 18: High affinity and superior potency of ABS-101

    18C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . H I G H A F F I N I T Y M A B S W I T H B I N D I N G T O B O T H T H E T L 1 A M O N O M E R A N D T R I M E R A I - O P T I M I Z E D L O W p M A F F I N I T Y T R A N S L A T E S T O S U P E R I O

  19. Slide 19: Reduced TL1A complex internalization vs RVT-3101

    19C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . ABS-101 and MK-7240 show reduced TL1A complex internalization than RVT-3101 A B S - 1 0 1 , T L 1 A mAb only ABS-101 RVT-3101MK-7240 10x 10x 10x 10x 10x 10x 63x 63x 63x 20 µ m 20 µ m 20 µ m 20 µ m 20

  20. Slide 20: Latest NHP and CMC data confirm ABS-101 profile

    20C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . Latest Non-Human Primates & CMC data confirm compelling ABS-101 competitive profile A B S - 1 0 1 , T L 1 A 2-3x extended half-life in NHPs over clinical competitors to support Q8W-Q12W dosing interva

  21. Slide 21: NHP data confirm target engagement

    21C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . Latest NHP data confirm compelling profile and target engagement Confirmatory target engagement N o n - H u m a n P r i m a t e s ( N H P ) s i n g l e d o s e P K / P D s t u d y h i g h l i g h t s

  22. Slide 22: AI-designed for potentially optimal therapeutic profile

    22C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . AI-designed for potentially optimal therapeutic profile A B S - 1 0 1 , T L 1 A A T T R I B U T E ABS - 1 0 1 M K - 7 2 4 0 ( M E R C K , P R O M E T H E U S ) R V T - 3 1 0 1 ( R O C H E , R O I V A

  23. Slide 23: Continued progress with FiH expected in 2025

    23C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . Continued progress with FiH expected in 2025 A B S - 1 0 1 T L 1 A AI-designed Development Candidate ü High affinity ü High potency ü Long half-life ü Favorable manufacturability 1 Q 2 0 2 4 I N I T I

  24. Slide 24: Absci's progress in Drug Creation

    24C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . A B S - 1 0 1 Continued progress of TL1A asset with FiH in 1H 2025 • New preclinical data supporting superior immunogenicity profile • Phase 1 Interim data readout in 2H 2025 A B S - 2 0 1 Development

  25. Slide 25: ABS-201 potential in hair re-growth

    25C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . ABS-201 has the potential to unlock a wholly new category of therapy in hair “re-growth” Significant unmet clinical need for androgenic alopecia Large market: 80-90M patients in U.S., which is a highl

  26. Slide 26: Significant underserved patient population

    26C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . Significant underserved patient population looking for therapeutic innovation FEMALE ANDROGENIC ALOPECIA ~30M women in U.S. Only 1 FDA approved therapy for women ~50M men in the U.S. Only 2 FDA approv

  27. Slide 27: Prolactin receptor inhibition mechanism of action

    27C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . Prolactin Receptor inhibition MOA: stimulation of anagen hair growth phase Proposed impact of ABS-201 on Hair Cycle Stages ABS-201 has the potential to: Catagen ↑↑ Apoptosis & Regression Telogen Resti

  28. Slide 28: Prolactin induces catagen-like phase in human hair follicles

    28C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . Prolactin induces catagen-like phase in cultured human hair follicles A B S - 2 0 1 1 doi: 10.2353/ajpath.2006.050468 2 doi: 10.1056/NEJMoa1805171 P r o l a c t i n - d r i v e s h a i r f o l l i c l

  29. Slide 29: PRLR loss-of-function human genetics supports safety

    29C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . Kobayashi, 2018 NEJM Female compound heterozygous PRLR loss-of- function carrier lacks complete PRLR signaling A 35-year-old woman with postpartum agalactia and hyperprolactinemia, otherwise in good h

  30. Slide 30: Anti-PRLR mAb promotes long-term hair growth in NHP

    30C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . Treatment with an anti-PRLR mAb promotes and sustains long-term hair growth in NHP TOP HEAD VIEW OF STUMPTAILED MACAQUE’S SHOWING PHENOTYPIC CHANGE OVER TIME 40mg/kg s.c. Q2W for 28 weeks Disclosure f

  31. Slide 31: ABS-201 superior efficacy vs minoxidil

    31C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . ABS-201 shows superior efficacy vs 5% topical minoxidil in 21d hair regrowth model Administration: mAbs i.p. biweekly; Minoxidil topical daily Untreated (n=11) Isotype (n=11) Minoxidil 5% (n=11) ABS-2

  32. Slide 32: Straightforward path for ABS-201 clinical development

    32C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . Straightforward path for ABS-201 clinical development C L I N I C A L T R I A L S F O R H A I R T R E A T M E N T S A R E S T R A I G H T F O R W A R D • Ease of patient recruitment • High level of KO

  33. Slide 33: ABS-201 significant untapped market opportunity

    33C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . ABS-201 represents a significant untapped new market opportunity Consumers across income levels invest in aesthetic treatments, driving steady demand. STRONG WILLINGNESS TO SELF-PAY ACROSS DEMOGRAPHIC

  34. Slide 34: Absci's progress in Drug Creation

    34C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . A B S - 1 0 1 Continued progress of TL1A asset with FiH in 1H 2025 • New preclinical data supporting superior immunogenicity profile • Phase 1 Interim data readout in 2H 2025 A B S - 2 0 1 Development

  35. Slide 35: Tertiary lymphoid structures and antibodies

    35C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . The presence of TLS is associated with longer progression-free survival and better response to immune checkpoint inhibitors2,3. Rapidly growing evidence illustrates correlation between TLS-derived ant

  36. Slide 36: ABS-301 reverse immunology platform

    36C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . LIGHT CHAINS HEAVY CHAINS Samples collected from patients with high expression of TLS markers Antibody expression Immunoglobulin reads from RNAseq data Target identification using high throughput prot

  37. Slide 37: ABS-301 rescues pro-inflammatory signaling

    37C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . A B S - 3 0 1 r e s c u e s p r o - i n f l a m m a t o r y s i g n a l i n g t h r o u g h i n h i b i t i o n o f i m m u n o s u p p r e s s i v e c y t o k i n e A B S - 3 0 1 | A patient-derived

  38. Slide 38: In vivo target validation drives anti-tumor response

    38C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . In vivo Target Validation: Pathway Activation Drives Potent Anti-Tumor Response A B S - 3 0 1 Key Findings: Activation of the ABS-301–targeted pro-inflammatory pathway triggers a robust anti-tumor imm

  39. Slide 39: Target expression in squamous cell carcinomas

    39C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . Expression of ABS-301’s target suggests broad potential in squamous cell carcinomas A B S - 3 0 1 Distribution of ABS-301 target expression across squamous cell carcinoma cohorts. ABS-301 target expre

  40. Slide 40: ABS-301 expression in lung squamous cell carcinoma

    40C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . ABS-301 | Expression in Lung Squamous Cell Carcinoma (LUSC): no change with treatment and strong negative correlation with CD8+ T cell infiltration In LUSC, univariate analysis of ABS-301 expression i

  41. Slide 41: ABS-301 broad potential in immuno-oncology

    41C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . ABS-301 | Broad potential in immuno-oncology Based on literature and potential competitive molecules, the following indications could be of interest: *dependent on stage of diagnosis References provid

  42. Slide 42: Absci's progress in Drug Creation

    42C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . A B S - 1 0 1 Continued progress of TL1A asset with FiH in 1H 2025 • New preclinical data supporting superior immunogenicity profile • Phase 1 Interim data readout in 2H 2025 A B S - 2 0 1 Development

  43. Slide 43: ABS-501 de novo AI model discovery on HER2

    43C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . • Hits with edit distance of up to 12 amino acids in HCDR3 region (13 aa, search space of 2013) were screened • Selected 50 hits with <10 nM affinity were expressed as mAbs for binding affinity determ

  44. Slide 44: ABS-501 enhanced ADCC activity vs trastuzumab

    44C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . Luciferase signal driven by NFAT transcription factor positively correlates to ADCC activation against JIMT-1 ABS-501, HER2 | AI-designed antibodies demonstrate measurable enhancement of ADCC activity

  45. Slide 45: ABS-501 suppresses HER2+ tumor growth

    45C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . ABS-501, HER2 | AI-designed antibodies suppress growth of trastuzumab-sensitive & resistant HER2+ breast tumors Partial Critical Not critical Trastuzumab WT Variant 1 Variant 3 Variant 4 Mouse xenogra

  46. Slide 46: ABS-501 opportunities to address unmet medical need

    46C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . ABS-501, HER2 | AI-designed variants create opportunities to address unmet medical need Modality switch or combination opportunities under consideration to address unmet medical needs Later-line treat

  47. Slide 47: Leading AI models to create novel & differentiated therapeutics

    47C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . Leading AI models to create novel & differentiated therapeutics “Smart” biologics Enhanced Potency & MOA Engineer selectivity, minimizing off target toxicity Agonism vs. Antagonism Bind Specific extra

  48. Slide 48: Leadership in AI de novo design of antibody-based therapeutics

    48C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . Leadership in AI de novo design of antibody-based therapeutics EVQLSEVGA . . . de novo antibody design model creates epitope-specific binders given a target structure Designed in framework of choice o

  49. Slide 49: AI platform and lab-in-the-loop

    49C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . AI Platform designs antibodies Wet Lab confirms AI- designed antibodies maintain drug-like properties Wet Lab data improve models D E N O V O A N T I B O D Y D E S I G N Our AI platforms are enabled b

  50. Slide 50: AbsciGen and AbsciBind models

    50C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . AbsciGen: antibody<>antigen complex structure and sequence design AbsciBind: antibody design scoring and filtering Antigen AbsciGen AbsciBind AbsciBind High Rank RMSD = 2.3 Å Confidence = 0.95 AbsciBi

  51. Slide 51: End-to-end design-validation workflow

    51C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . STEP 1. Define design parameters STEP 2. Fine-tune and deploy AbsciGen and AbsciBind to generate hundreds of thousands of variants and filter to a subset that are likely binders STEP 3. Wet lab screen

  52. Slide 52: De novo design of antibody binding HIV-1 Caldera

    52C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . C A S E S T U D Y de novo design of an antibody that binds the Caldera region of HIV-1 trimer

  53. Slide 53: No antibody for HIV universally neutralizing

    53C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . No natural or synthetic antibody for HIV exists today because immune system cannot derive an antibody that is universally neutralizing against HIV Design challenge: create universally neutralizing HIV

  54. Slide 54: HIV-Caldera: determine inputs and design

    54C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . HIV-Caldera: Determine inputs and design D E N O V O D E S I G N HIV Env Trimer Challenge : • Highly glycosylated • Extremely high sequence diversity among isolates • High mutation rate at common neut

  55. Slide 55: Best structures selected from 10,000+ generated

    55C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . 4 best structures selected from 10,000+ structures generated by de novo model D E N O V O D E S I G N 17b Structure S1 HCDR3 Structure S3 HCDR3 Structure S2 HCDR3 Structure S4 HCDR3 HeavyLight

  56. Slide 56: Molecular dynamics simulation of designed antibodies

    56C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . Applied molecular dynamics simulation to de novo designed antibodies D E N O V O D E S I G N

  57. Slide 57: Enriched library binds open Env trimer

    57C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . H A ta g Antigen Clade A Env trimer Closed Open Enriched de novo library binds open, not closed, Env trimer conformation in YSD D E N O V O D E S I G N Closed Open Clade B Env trimer

  58. Slide 58: SPR data consistent with caldera binding

    58C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . SPR data demonstrate binding characteristics consistent with binding of caldera D E N O V O D E S I G N

  59. Slide 59: SPR shows no binding to GP120 monomer

    59C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . HIV-Caldera: SPR demonstrates no binding of de novo designs to GP120 monomer D E N O V O D E S I G N Hypothesis: If the designed mAbs are binding to the caldera region we should not observe binding to

  60. Slide 60: AI de novo design for challenging target

    60C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . HIV-Caldera: demonstrating AI de novo design for challenging target H I V D E N O V O D E S I G N SUMMARY de novo design model created a novel and diverse antibody which binds multiple clades of HIV i

  61. Slide 61: AI Optimization for pH sensitivity

    61C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . CASE STUDY A I O p t i m i z a t i o n f o r p H s e n s i t i v i t y

  62. Slide 62: AI lead optimization for pH sensitivity

    62C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . C A S E S T U D Y – A I L E A D O P T I M I Z A T I O N f o r p H S E N S I T I V I T Y AI lead optimization platform for ‘smart biologics’ T H E C H A L L E N G E : The diversity of antibodies is vas

  63. Slide 63: pH sensitivity may reduce toxicity or improve efficacy

    63C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . TUMOR SPECIFICITY IMPROVES EFFICACY AND REDUCES ”ON-TARGET OFF-TUMOR” TOXICITIES pH sensitivity may reduce toxicity and/or improve efficacy of therapeutic mAbs C A S E S T U D Y - A I L E A D O P T I

  64. Slide 64: Models identify pH sensitive Fab variants

    64C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . Models identify pH sensitive Fab variants from the same lead for either indication C A S E S T U D Y - A I L E A D O P T I M I Z A T I O N f o r p H S E N S I T I V I T Y 1. Library for model training

  65. Slide 65: Hits reformatted as mAbs show desired binding profiles

    65C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . Hits reformatted as mAbs show desired binding profiles C A S E S T U D Y - A I L E A D O P T I M I Z A T I O N f o r p H S E N S I T I V I T Y AI optimized leads achieves variants with pH sensitive bi

  66. Slide 66: Summarized platform case studies

    66C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D . D E N O V O D E S I G N de novo design model created molecule binds multiple clades of HIV suggesting successful targeting of the caldera epitope Represents second disclosed target success for our de

  67. Slide 67: Better biologics for patients, faster

    Better biologics for patients, faster 67C O P Y R I G H T © 2 0 2 5 A B S C I C O R P O R A T I O N . A L L R I G H T S R E S E R V E D .

Absci — Investor Presentation (March 2025) on 6ix