Simulations Plus, Inc. · NASDAQ:SLP

Simulations Plus — Technical Presentation (April 2019)

36 slides from Simulations Plus's technical presentation, Apr 9, 2019

  1. Slide 1: NAFLDsym v2A Release Webinar

    6” 9 DiLisymServices g'g Or g A SIMULATIONS PLUS COMPANY NANeLDSwrin WAN Release Webinat April 9, 2019 Scott Q Siler, Chief Scientific Officer DILIsym Services Division Simulations Plus

  2. Slide 2: Disclaimer

    Disclaimer: DILIsym® Services are developed and provided as an educational tool based on assessment of the current scientific and clinical information, and accepted approaches for drug safety and efficacy. The resultant data, suggestions, and conclusions (“Guidelines”) should not be considered inclu

  3. Slide 3: NAFLDsym Is Designed to Support Drug Development with Efficacy Predictions

    NAFLDsym Is Designed to Support Drug Development with Efficacy Predictions • NAFLD is a progressive disease of the liver • Incidence is growing worldwide with few treatment options – Substantial opportunity to improve health for many patients by developing treatments • NAFLDsym is a QSP model of NAF

  4. Slide 4: DILIsym Services, Inc.

    DILIsym Services, Inc. “Our vision is safer, effective, more affordable medicines for patients through modeling and simulation.” • DILIsym Services, Inc. offers comprehensive program services: – DILIsym software licensing, training, development (DILI-sim Initiative) – NAFLDsym software licensing, tr

  5. Slide 5: Your "End-to-End" Software Provider

    Simulations Plus Inc. (NASDAQ: SLP): Your “End-to-End” Software Provider HO Discovery Preclinical Clinical CH3 N H O CH3 H3C O ADMET Predictor® GastroPlus® MedChem Studio™ DDDPlus™ PKPlus™ KIWI™ MedChem Designer™ MembranePlus™ DILIsym® NAFLDsym® Consulting Services and Collaborations 5

  6. Slide 6: Outline

    Outline • Introduction to NAFLDsym Modeling Software • Demonstration of NAFLDsym v2A Software • Example NAFLDsym Application • NAFLDsym Licensing and Services Projects 6

  7. Slide 7: NAFLDsym Predicts Efficacy via Pathophysiology, Exposure, and PD

    NAFLDsym Predicts Efficacy via the Intersection Between Pathophysiology Mechanisms, Compound Exposure, and PD Exposure Pharmacodynamics Efficacy Pathophysiology 7

  8. Slide 8: NAFLDsym v2A Overview

    NAFLDsym v2A Overview Multiple interacting sub-models, including Clinical data from • Steatosis literature used to • Lipotoxicity establish quantitative • Inflammation relationships for • Fibrosis underlying biochemistry • Biomarkers • Weight gain/loss Numerous simulated Provides ability to patients

  9. Slide 9: Pathophysiologic Variability Represented in NAFLDsym with NAFLD/NASH SimPops

    Pathophysiologic Variability Represented in NAFLDsym with NAFLD/NASH SimPops • SimPops are population samples with variability across key areas of NAFLD/NASH pathophysiology • Multiple parameters are varied to produce diverse possible simulated patients • Simulated patients are compared with a multi

  10. Slide 10: NAFLDsym v2A Overview: Steatosis-Lipotoxicity

    NAFLDsym v2A Overview: Steatosis-Lipotoxicity 10

  11. Slide 11: Simulated Patients with Steatosis, DNL, and Liver Injury Consistent with Clinical Data

    NAFLDsym v2A Includes Simulated Patients with Steatosis, DNL, and Liver Injury Consistent with Clinical Data • Simulated patients have wide range of contributions to steatosis from DNL – Consistent with Lambert 2014 observation that frequency of elevated DNL higher in patients with extensive steatos

  12. Slide 12: NAFLDsym v2A Overview: Inflammation

    NAFLDsym v2A Overview: Inflammation 12

  13. Slide 13: Lobular Macrophage and Neutrophil Numbers Consistent with Clinical Data

    NAFLDsym v2A Includes Lobular Macrophage and Neutrophil Numbers Consistent with Clinical Data • Multiple papers indicate that lobular inflammatory cell numbers do not appear to change with NAFLD disease severity (Krenkel 2017, Tajiri 2009, Rensen 2009, Leicester 2006) • Lobular macrophages and neutr

  14. Slide 14: Mediators Consistent with Majority of Data: TGF-β, PDGF

    NAFLDsym v2A Include Mediators Consistent with the Majority of Data: TGF-β, PDGF • Simulation results demonstrate modest increases in TGF-β consistent with the reported range (Das 2011) – Other data show no change or modest increases with disease severity • Simulation results demonstrate modest incr

  15. Slide 15: NAFLDsym v2A Overview: Fibrosis

    NAFLDsym v2A Overview: Fibrosis 15

  16. Slide 16: Activated HSC Consistent with Clinical Data

    NAFLDsym v2A Includes Activated HSC Consistent with Clinical Data Increasing Km of HSC activation • Simulated patients have increasing CL number of activated hepatic stellate cells (aHSC) with increasing fibrosis stage – Consistent with clinical data showing increased HSC activation with more extens

  17. Slide 17: Collagen Synthesis Rates Consistent with Clinical Data

    NAFLDsym v2A Has a Range of Collagen Synthesis Rates Consistent with Clinical Data • Rates of collagen I synthesis are greater Simulation results Clinical data in higher fibrosis stages – Consistent with clinical data showing increased collagen synthesis rates in NASH patients (Decaris 2017) – Rates

  18. Slide 18: Hepatic Collagen Levels Consistent with Clinical Data

    NAFLDsym v2A Has a Range of Hepatic Collagen Levels Consistent with Clinical Data • Hepatic collagen I and III levels are Simulation results Clinical data comparable in fibrosis stages 0, 1, 2 – Consistent with clinical data showing collagen levels in NASH patients (Masugi 2018) – Histologic assessm

  19. Slide 19: SimPops Patients Include Common Measurements of Treatment Efficacy

    NAFLDsym v2A SimPops Patients Include Common Measurements of Treatment Efficacy Plasma Histology Imaging Biomarkers Measurements measurements Liver fat percentage Plasma TG Steatosis score (MRI) Liver stiffness Plasma ALT Ballooning score (MRE) Plasma cytokeratin Inflammation score cleaved 18 (cK18)

  20. Slide 20: SimPops Simulated ProC3 is Consistent with Reported Clinical Data

    NAFLDsym SimPops Simulated ProC3 is Consistent with Reported Clinical Data • ProC3 is a biomarker of collagen synthesis Levin 2017 – Proteolytic fragment of procollagen 3 that SimPops enters the circulation – Production rate of ProC3 is based on the synthesis rate of collagen 3 • Simulated ProC3 ali

  21. Slide 21: SimPops Simulated Liver Stiffness (MRE) is Consistent with Clinical Data

    NAFLDsym SimPops Simulated Liver Stiffness (MRE) is Consistent with Reported Clinical Data • Liver stiffness is an imaging biomarker of hepatic collagen levels – Magnetic resonance elastography (MRE) • NAFLDsym includes liver stiffness as an output – Liver stiffness levels correspond with amount of

  22. Slide 22: Pathophysiologic Variability Represented in NAFLDsym with NAFLD/NASH SimPops

    Pathophysiologic Variability Represented in NAFLDsym with NAFLD/NASH SimPops • SimPops are population samples with variability across key areas of NAFLD/NASH pathophysiology • Multiple parameters are varied to produce diverse possible simulated patients • Simulated patients are compared with a multi

  23. Slide 23: SimPops Predicted Response to Weight Loss Consistent with Clinical Data: NAS

    NAFLDsym v2A SimPops Predicted Response to Weight Loss is Consistent with Clinical Data: NAS • Weight loss has been shown to improve NASH and fibrosis Emergent – Current standard of care behavior – Greater efficacy with greater weight loss • Simulated ≈5% weight loss over 1 year – Comparable to data

  24. Slide 24: SimPops and SimCohorts

    NAFLDsym v2A SimPops and SimCohorts Validation filtering Interim General SimPops NAS ≤3 NAS ≥4 SimCohorts SimCohorts Trx Validation: SimCohorts for Weight loss F0 F3 prospective clinical SimCohorts SimCohorts studies can be selected NAFLD/NASH SimPops from SimPops F1 F4 SimCohorts SimCohorts Prospec

  25. Slide 25: Outline

    Outline • Introduction to NAFLDsym Modeling Software • Demonstration of NAFLDsym v2A Software • Example NAFLDsym Application • NAFLDsym Licensing and Services Projects 25

  26. Slide 26: Outline

    Outline • Introduction to NAFLDsym Modeling Software • Demonstration of NAFLDsym v2A Software • Example NAFLDsym Application • NAFLDsym Licensing and Services Projects 26

  27. Slide 27: NAFLDsym Was Used to Support the Clinical Development of the ACCi GS-0976

    NAFLDsym Was Used to Support the Clinical Development of the ACCi GS-0976 • Early clinical results indicated GS-0976 MoA may be more complex than initially believed • NAFLDsym employed to evaluate MoA hypotheses – Developed PBPK model of GS-0976 (exposure) – Utilized existing preclinical and clinica

  28. Slide 28: ACC Inhibitor GS-0976 Has Demonstrated Ability to Reduce Liver Fat

    ACC Inhibitor GS-0976 Has Demonstrated Ability to Reduce Liver Fat • GS-0976: Liver-targeted ACC inhibition – Direct pharmacological effects on de novo lipogenesis and fatty acid oxidation • Single dose clinical study revealed rapid, potent ability to inhibit hepatic DNL – Oral fructose challenge; S

  29. Slide 29: GS-0976 Direct and Downstream PD Effects Included in NAFLDsym

    GS-0976 Direct and Downstream PD Effects Included in NAFLDsym • ACC inhibitor directly reduces Malonyl CoA levels – Increases potential for increased fatty acid oxidation (ACC2) FA oxidation Mito ATP production – Decreases de novo lipogenesis (ACC1) Cleaved Cytokeratin 18 RNS/ROS Apoptosis + product

  30. Slide 30: Good Agreement between GS-0976 Phase 2 Data and NAFLDsym Results Validates MoA

    Good Agreement between GS-0976 Phase 2 Clinical Data and NAFLDsym Simulation Results Validates MoA Hypotheses Measure Dose Sampling Clinical Simulation time data results Liver fat (%) 20 mg Baseline 16.3 16.5 Liver fat (%) 20 mg Week 12 11.6 11.0 Liver fat (%) 5 mg Baseline 16.4 16.5 Liver fat (%) 5

  31. Slide 31: Co-administration of Fibrates with GS-0976 Can Ameliorate Plasma TG Increases

    Co-administration of Fibrates with GS-0976 Can Ameliorate Plasma TG Increases • Preclinical and clinical data suggest that co- administration of ACCi with a PPAR-a agonist can ameliorate hypertriglyceridemia induced by ACCi • Preclinical studies have shown ACCi can lead to increased plasma TG Goedek

  32. Slide 32: Outline

    Outline • Introduction to NAFLDsym Modeling Software • Demonstration of NAFLDsym v2A Software • Example NAFLDsym Application • NAFLDsym Licensing and Services Projects 32

  33. Slide 33: General Project Timeline and Deliverables

    General Project Timeline and Deliverables Stage I Project Activities Stage II Project Activities Stage III Project Activities • Updates to NAFLDsym to represent NAFLD therapeutic • Simulations of Compound A prior • Simulations of Compound A future clinical trial strategies studies in representative

  34. Slide 34: NAFLDsym v2A License Provides Opportunity to Actively Utilize QSP Model

    NAFLDsym v2A License Provides Opportunity to Actively Utilize QSP Model • A license to NAFLDsym v2A is $67,500 per year for 1 instance – Includes capabilities of predicting effects of treatments on steatosis, lipotoxicity, inflammation, and fibrosis in NAFLD/NASH patients – Includes 10 hours of trai

  35. Slide 35: The DILIsym Services Team

    The DILIsym Services Team Paul B. Watkins DILI-sim Initiative Founder and Shawn O’Connor Scientific Advisory Board Chair Scott Q Siler Brett Howell CEO, Simulations Plus Inc. RTP, NC Chief Scientific Officer President Lancaster, CA Bay Area, CA RTP, NC Lisl Shoda Grant Generaux Jeff Woodhead Kyunghe

  36. Slide 36: NAFLDsym Is Designed to Support Drug Development with Efficacy Predictions

    NAFLDsym Is Designed to Support Drug Development with Efficacy Predictions • NAFLD is a progressive disease of the liver • Incidence is growing worldwide with few treatment options – Substantial opportunity to improve health for many patients by developing treatments • NAFLDsym is a QSP model of NAF

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