Shuttle Pharmaceuticals to purchase Molecule.ai for $10 million
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Oct 09 2025
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Acquisition Announcement: Shuttle Pharmaceuticals has executed a letter of intent to acquire Molecule.ai, which offers a platform that helps researchers accelerate drug development and improve success rates for therapeutic candidates.
Financial Terms and Responsibilities: Shuttle will pay $10 million for the acquisition, assuming all liabilities of Molecule.ai, which will also enhance its AI platform for drug discovery and assist in recruiting talent from the AI community.
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Analyst Views on SHPH
About SHPH
Shuttle Pharmaceuticals Holdings, Inc. is a discovery and development stage specialty pharmaceutical company focused on improving the outcomes for cancer patients treated with radiation therapy (RT). Its product candidates include Ropidoxuridine, a Phase II, clinical-stage radiation sensitizer, a platform of HDAC inhibitors (SP-1-161, SP-2-225 and SP-1-303), and two preclinical, prostate cancer-oriented diagnostics assets: PC-RAD Test, a blood test to predict clinical response to radiation therapy and PSMA-B ligand for potential use as a theranostic agent. Ropidoxuridine (IPdR) is for use in combination with RT to treat brain tumors (glioblastoma) and sarcomas. SP-1-161 is a candidate lead of compounds demonstrating activation of the ATM gene product (mutated in Ataxia-Telangiectasia). SP-2-225 is a candidate lead of compounds demonstrating Class II (HDAC6) selective inhibition. SP-1-303 is a candidate Class I HDAC inhibitor with preferential efficacy against ER positive cancers.
About the author
Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
Shuttle Pharmaceuticals (SHPH) Shares Surge 158% to $4.21 Amid AI-Driven Oncology Pipeline Interest
- Stock Surge: Shuttle Pharmaceuticals' shares soared 158% in pre-market trading to $4.21, reflecting strong investor interest in its oncology pipeline and signaling confidence in the company's growth potential.
- AI Integration: Recent regulatory approval for AI-based prescriptions in Utah highlights the strategic importance of Shuttle's use of the Molecule.ai platform in drug discovery, which is expected to reduce costs and accelerate the identification of new drug candidates.
- Pipeline Overview: The company's pipeline includes investigational candidates like Ropidoxuridine (ROPES) and SP-2, aimed at enhancing radiation therapy effectiveness and working alongside immunotherapies to strengthen tumor response, supporting precision medicine initiatives.
- Stock Performance History: SHPH has traded between $1.52 and $25.25 over the past year, with the latest data showing a closing price of $1.63 on January 16, 2026, up 10.14% from the previous day.
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Shuttle Pharma Applauds Utah's AI Prescription Refill System, Enhancing Healthcare Efficiency
- AI Prescription Innovation: Utah becomes the first state in the U.S. to allow AI systems to authorize prescription refills without direct physician involvement, marking a significant advancement in reducing healthcare costs, eliminating delays, and expanding access to care.
- Enhanced Drug Discovery Efficiency: Shuttle Pharma's Molecule.ai platform applies AI technology to significantly shorten the time to identify viable drug candidates and reduce the costs of failed experiments, transforming what once took months of manual experimentation into just days, thereby greatly improving R&D efficiency.
- Regulatory and Safety Measures: The Molecule.ai platform incorporates uncertainty quantification and human-in-the-loop workflows to ensure expert oversight at critical decision points, enhancing the safety and reliability of AI in drug discovery.
- Future Policy Implications: Results from Utah's AI prescription pilot program will guide future state and federal AI policies, potentially serving as a national model for high-stakes AI regulation in healthcare, driving demand for robust AI platforms in the industry.
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