AO-252 (TACC3 PPI Inhibitor)
First-in-class TACC3 protein-protein interaction inhibitor for women's cancers
Company profile
Company profile
AI-driven pharmaceutical company focused on discovering and developing novel drug candidates using computational biology and machine learning.
Company description A2A Pharmaceuticals official website
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01 · Operating footprint
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Company milestones
Phase 1 clinical trial progress announced May 2025 with tumor reductions in women's cancers. FDA IND clearance for TACC3 program in 2021. Biomea Fusion JV formation for MLL-Menin program. Dose expansion planned for summer 2025 to include additional cancer types.
Partnerships
02 · Flagship portfolio
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First-in-class TACC3 protein-protein interaction inhibitor for women's cancers
AI-powered systematic combinatorial drug design platform
03 · Research intelligence
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Research
Bioorganic chemistry · Mar 1, 2025
Artificial Intelligence for COVID-19 Drug Discovery and Vaccine Development.Frontiers in artificial intelligence · Jan 1, 2020
Clinical validation
NCT06136884 · Sponsor · RECRUITING
Regulatory
No linked records are currently available.
04 · Company-reported outcomes
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67% of Phase 1 patients (4b BID cohort) over approximately 2 months at 160mg dose
Phase 1 trial up to 240mg with benign safety profile
Achieved in ovarian and endometrial cancer patients by 2025
Treatment of ovarian, triple negative breast, and endometrial cancer patients with AO-252
22% average tumor reduction in 67% of patients at 160mg dosing over approximately 2 months with no dose-limiting toxicity
50-50 joint venture formation to advance A2A's MLL-Menin program into clinical development
$56M Series A financing raised for Biomea Fusion in 2021
AI-powered drug discovery platform validation
Awarded Artificial Intelligence for Drug Discovery Quickfire Challenge
05 · Leadership
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06 · Company updates
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07 · HAIC coverage
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08 · Official presence
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09 · Market pathway
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Market context
Companies using AI, machine learning, or computational biology to discover new drug candidates, identify drug targets, predict drug efficacy, or accelerate pharmaceutical development. Includes both small molecule and biologics development, precision oncology drug discovery, and AI-driven target identification and molecule design.
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