Predictive Toxicology

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Schrodinger(SDGR) - 2025 Q2 - Earnings Call Transcript
2025-08-06 21:30
Schrödinger (SDGR) Q2 2025 Earnings Call August 06, 2025 04:30 PM ET Speaker0Thank you for standing by. Welcome to Schrodinger's Conference Call to Review Second Quarter twenty twenty five Financial Results. My name is Rob, and I'll be your operator for today's call. All lines have been placed on mute to prevent any background noise. After the speakers' remarks, there will be a question and answer session.Please be advised that this call is being recorded at the company's request. Now I would like to introd ...
SLP Advances Predictive Toxicology With DILIsym 11: Shares to Benefit?
ZACKS· 2025-05-19 13:30
Core Insights - Simulations Plus, Inc. has launched DILIsym 11, enhancing its quantitative systems toxicology platform for improved drug-induced liver injury prediction, particularly with pediatric representation and an advanced T-cell model [1][2][3] Group 1: Product Enhancements - DILIsym 11 introduces significant enhancements, including pediatric modeling to assess liver toxicity risk in children, which is a notable advancement in predictive toxicology [3][5] - The new T-cell module offers deeper insights into CD8+ T-cell-mediated liver damage, alongside improved simulations for bile acid-related and cholestatic liver injuries [5][6] - The platform is recognized as a regulatory-grade simulation tool, having been reviewed by the FDA's DILI team, which underscores its clinical relevance [4][6] Group 2: Financial Performance - Simulations Plus reported a 23% year-over-year revenue increase to $22.4 million, driven by demand for its software and services, with contributions from the recently acquired Pro-ficiency business units [7][9] - The company anticipates revenues between $90 million and $93 million for fiscal 2025, reflecting a 28-33% increase from fiscal 2024, with Pro-ficiency expected to add $15-$18 million [9] Group 3: Market Context - Despite the positive performance of Simulations Plus, the broader biopharmaceutical sector faces financial challenges, impacting research and development investments [8] - The company is positioned to gain traction in the market as it continues to innovate in biosimulation and predictive modeling, which is critical for improving drug safety [6][8]
Schrödinger (SDGR) 2025 Conference Transcript
2025-05-14 21:40
Summary of Schrödinger (SDGR) 2025 Conference Call Company Overview - Schrödinger combines physics-based methods with artificial intelligence (AI) and machine learning to accelerate the discovery of novel chemical materials for life sciences and material sciences applications [2][5] - The company has approximately 1,800 global customers, primarily in the life sciences sector, including nearly every academic institution studying chemistry [3][4] Financial Performance - In the previous year, Schrödinger reported $180 million in software revenue, growing at 13% [6] - Drug discovery revenue was $27 million, down from $57 million due to a large milestone payment in 2023 [7] - Q1 revenue reached nearly $60 million, a 63% year-over-year increase, with software revenue at $48.8 million (46% growth) and drug discovery revenue at $10.7 million [8][9] - The company forecasts total software revenue growth of 10% to 15% for the year, with drug discovery revenue expected to recover to $45 million to $50 million [9] Business Model and Revenue Streams - Schrödinger's business model includes software licensing, drug discovery collaborations, and a proprietary pipeline with over eight active programs, three of which are in clinical stages [5][6] - The company benefits from cash inflows from collaborations and equity investments in co-founded companies that have gone public or been acquired [8] Strategic Priorities - The focus is on increasing adoption of computational technology among existing customers rather than acquiring new customers [12] - Enhancements to the platform will enable its use for biologics and predicting toxicology risks, aligning with FDA initiatives to phase out animal testing [12][51] Clinical Programs and Pipeline - The company is advancing three proprietary clinical programs, with data readouts expected in the second half of the year [10][20] - Preliminary efficacy data for SGR1505, a MALT1 inhibitor, shows promising results in heavily pretreated patients [14][15] Collaborations and Partnerships - Recent collaborations include a significant deal with Novartis, which involved a $150 million upfront milestone payment for drug discovery collaboration [33] - The partnership with Novartis has led to a substantial increase in software revenue, with Novartis now among the top tier of customers [36][62] Market Dynamics and Customer Insights - The company has observed no significant cutbacks in R&D spending among large pharmaceutical companies despite macroeconomic challenges [60] - Retention rates among large customers are exceptionally high at 99.9% [61] Competitive Landscape - Schrödinger differentiates itself through its unique combination of physics-based methods and machine learning, with limited direct competition in this niche [72][74] - The company views the current AI boom in drug discovery as beneficial, as it may lead to increased use of structure-based drug design, which aligns with Schrödinger's platform [73][74] Conclusion - Schrödinger is well-positioned for growth with a robust business model, strong financial performance, and strategic collaborations, while also adapting to industry trends and regulatory changes in drug discovery and development.