The most oversold stocks in the health care sector presents an opportunity to buy into undervalued companies.The RSI is a momentum indicator, which compares a stock’s strength on days when prices go up to its strength on days when prices go down. When compared to a stock’s price action, it can give traders a better sense of how a stock may perform in the short term. An asset is typically considered oversold when the RSI is below 30, according to Benzinga Pro.Here's the latest list of major oversold players ...

The most oversold stocks in the health care sector presents an opportunity to buy into undervalued companies.The RSI is a momentum indicator, which compares a stock’s strength on days when prices go up to its strength on days when prices go down. When compared to a stock’s price action, it can give traders a better sense of how a stock may perform in the short term. An asset is typically considered oversold when the RSI is below 30, according to Benzinga Pro.Here's the latest list of major oversold players ...

Core Viewpoint - Schrödinger, Inc. is set to report its fourth quarter and full-year 2025 financial results on February 25, 2026, after market close [1] Financial Reporting - The financial results will be followed by a conference call and webcast at 4:30 p.m. ET [1] - The live webcast will be accessible in the "Investors" section of Schrödinger's website and will be archived for approximately 90 days post-event [1] Company Overview - Schrödinger is focused on transforming molecular discovery through its computational platform [1]

Summary of Key Points from the Conference Call on AI-Driven Drug Discovery (AIDD) Industry Overview - **Industry Focus**: Biotechnology, specifically AI-driven drug discovery (AIDD) in the Asia Pacific region [1] - **Current State**: AIDD is transitioning from pilot projects to commercial reality, with significant growth in partnerships and platform deals [2] Core Insights - **Chemistry Models**: These models are mature and have proven to enhance execution efficiency in drug discovery, leading to faster iteration cycles and improved hit-to-lead conversion rates [10][12] - **Biology Models**: While chemistry models are monetizable, biology models, which influence drug development decisions, are still in the validation phase. Their success hinges on demonstrating human relevance through clinical data [3][11] - **2026 as a Pivotal Year**: A series of clinical and translational readouts expected in 2026 will test the validity of biology models, potentially shifting AIDD from execution support to authoritative decision-making [4][16] Investment Opportunities - **CLARITY Framework**: This framework distinguishes between chemistry-execution platforms, which have proven value, and biology-exposed platforms, which may see a revaluation based on upcoming validation results [5][21] - **Recommended Strategy**: The strategy involves pairing investments in established chemistry platforms with selective exposure to emerging biology-validation platforms [6] Key Developments and Case Studies - **Insilico Medicine**: Positive Phase 2a data for its TNIK inhibitor indicates early validation of AI-driven biology models [23][65] - **Recursion Pharmaceuticals**: REC-4881 shows promise in clinical validation, with additional data expected in 2026 [67] - **Absci**: ABS-201, an AI-designed antibody, is in first-in-human studies, with interim data anticipated in 2H26 [66] Market Dynamics - **China's Role**: China is emerging as a key player in AIDD, leveraging its clinical development infrastructure and rapid adoption of AI tools to enhance drug discovery processes [4][72][77] - **Global Trends**: The biopharmaceutical industry is facing pressures such as patent cliffs and declining R&D ROI, driving the need for innovative tools like AIDD [13][41] Risks and Challenges - **Adoption Barriers**: Organizational frictions, such as data silos and misaligned incentives, may hinder the widespread adoption of AIDD technologies [15][50] - **Validation Risks**: Biology models may fail to demonstrate consistent human relevance, which could impact their adoption and valuation [26][70] Conclusion - **Future Outlook**: The next 18-24 months are critical for AIDD, with multiple programs expected to generate early clinical signals that could validate the efficacy of AI in drug discovery [56][70] - **Investment Implications**: As biology models gain validation, there may be a shift in how AIDD companies capture value, moving towards co-development and downstream economic participation [69][71]

Core Insights - Schrodinger is collaborating with Eli Lilly to integrate the pharmaceutical company's AI-based platform, TuneLab, into its drug designing software [1] Company Collaboration - The partnership aims to enhance drug design capabilities by leveraging Eli Lilly's AI technology [1]

Core Insights - Schrödinger, Inc. (NASDAQ:SDGR) has been upgraded by BofA Securities from Neutral to Buy, with a price target of $24, due to a strategic pivot towards its core software business, which is expected to lead to stronger and more predictable growth [1][2] - The shift to a software-focused model is seen as a cleaner and more streamlined approach, reducing complexity and cash burn associated with clinical programs, positioning the company to better leverage the demand for advanced computational tools in pharmaceutical research [2] Company Strategy - KeyBanc has reiterated an Overweight rating on Schrödinger with a price target of $28, following discussions with the company's management, highlighting a turnaround as resources are redirected towards high-margin software operations [3] - Management emphasized product expansions and long-term growth potential during a non-deal roadshow, indicating a positive outlook for the company's future [3] Valuation and Market Position - KeyBanc views Schrödinger's stock as undervalued, trading at approximately three times the 2026 consensus revenue estimates, presenting an attractive opportunity for healthcare technology investors [4] - Schrödinger develops computational platforms for drug discovery, utilizing physics-based molecular modeling combined with AI to accelerate pharmaceutical research [4]

Core Viewpoint - Schrodinger, Inc. (SDGR) has seen a 5.4% increase in share price over the past four weeks, closing at $18.13, with a potential upside of 46.2% based on Wall Street analysts' mean price target of $26.5 [1] Price Targets - The average of 10 short-term price targets ranges from a low of $18.00 to a high of $33.00, with a standard deviation of $5.46, indicating variability among analysts [2] - The lowest estimate suggests a decline of 0.7% from the current price, while the highest estimate indicates an 82% upside [2] Analyst Consensus and Earnings Estimates - Analysts are optimistic about SDGR's earnings prospects, as indicated by a positive trend in earnings estimate revisions, which historically correlates with stock price movements [4][11] - The Zacks Consensus Estimate for the current year has increased by 6.4% over the past month, with one estimate rising and no negative revisions [12] Zacks Rank - SDGR holds a Zacks Rank 2 (Buy), placing it in the top 20% of over 4,000 ranked stocks based on earnings estimates [13] Caution on Price Targets - While price targets are a common metric for investors, relying solely on them can be misleading, as analysts may set overly optimistic targets due to business incentives [3][8][10]

Company Overview - Schrodinger, Inc. (SDGR) has experienced significant stock pressure due to weak fourth-quarter guidance, reflecting a challenging demand environment [1] Investment Strategy - Narweena, an asset manager led by Richard Durant, focuses on identifying market dislocations caused by misunderstandings of long-term business prospects, aiming for excess risk-adjusted returns through secular growth opportunities in markets with entry barriers [1] - The research process emphasizes company and industry fundamentals to uncover unique insights, with a high risk appetite and long-term investment horizon targeting deeply undervalued stocks [1] Market Dynamics - An aging population with low growth and stagnating productivity is expected to create a different investment opportunity set compared to historical trends, with many industries facing stagnation or secular decline, potentially improving business performance due to reduced competition [1] - Conversely, some businesses may encounter rising costs and diseconomies of scale, while economies increasingly favor asset-light businesses, leading to a decline in infrastructure investment needs over time [1] - A large pool of capital is pursuing a limited set of investment opportunities, resulting in rising asset prices and compressed risk premia [1] Leadership Background - Richard Durant holds undergraduate degrees in engineering and finance from the University of Adelaide and an MBA from Nanyang Technological University, along with having passed the CFA exams [1]

Summary of Schrödinger Conference Call Company Overview - Schrödinger operates as a computational lab focused on molecular discovery, primarily in drug discovery, utilizing AI and simulation data to enhance experimental data accuracy [1][2] Financial Performance - Reported revenue for the quarter was $54 million, representing a 54% year-on-year growth - Software revenue was $40.9 million, growing 28%, while drug discovery revenue was $13.5 million - Total revenue guidance remains around $250 million, with software revenue expected to decrease slightly and drug discovery revenue to increase slightly [3][4] Business Model and Revenue Streams - Schrödinger monetizes its platform through three main avenues: software sales, collaborations with pharmaceutical partners, and internal drug discovery programs - The company has over 1,700 customers and 19 active collaborations, with seven internal drug discovery programs [2][3] Strategic Focus - The company is transitioning to a more R&D-focused model, emphasizing partnerships for advancing drug development rather than pursuing IND stage for internal assets [3][4] - The goal is to streamline operations and enhance profitability [4][28] Pipeline and Drug Development - Schrödinger has 15 programs entitled to milestones or royalties, with a collective milestone opportunity of $5 billion [5] - Upcoming data presentations include results from dose escalation studies for two clinical programs, MALT1 and WEE1/MYT1, with expectations of strong efficacy and safety profiles [19][20] Partnerships and Collaborations - Partnerships with major pharmaceutical companies like Novartis and Lilly have expanded significantly, leading to increased software licensing and usage [13][15] - Successful milestones from these partnerships are expected to open avenues for further collaborations and software licensing [16][32] Market Position and Competitive Advantage - Schrödinger's platform is distinguished by its physics-based approach, which does not rely on training sets, unlike many AI-driven drug discovery methods [8][10] - The company aims to leverage its unique capabilities in structure-based drug design to identify promising drug targets across various therapeutic areas [36][38] Financial Health and Future Outlook - As of the end of the quarter, Schrödinger had $401 million in cash, with significant cost optimization measures in place to extend its financial runway [40] - The company anticipates continued growth in software revenue and further partnerships in the next 12 to 24 months [12][32] Conclusion - Schrödinger is positioned for growth through strategic partnerships, a strong pipeline, and a focus on computational drug discovery, with a clear path towards profitability and operational efficiency [4][28][40]

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