On March 27, 2025 Rakovina Therapeutics Inc. (TSX-V: RKV) (FSE: 7JO), a biopharmaceutical company advancing innovative cancer therapies through artificial intelligence (AI)-powered drug discovery, reported that two of its abstracts have been accepted for presentation at the upcoming 2025 American Association for Cancer Research (AACR) (Free AACR Whitepaper) Annual Meeting, taking place April 25-30 in Chicago, Illinois (Press release, Rakovina Therapeutics, MAR 27, 2025, View Source;utm_medium=rss&utm_campaign=rakovina-therapeutics-unveils-preclinical-data-at-the-aacr-worlds-premier-cancer-research-forum [SID1234651536]).
Schedule your 30 min Free 1stOncology Demo!
Discover why more than 1,500 members use 1stOncology™ to excel in:
Early/Late Stage Pipeline Development - Target Scouting - Clinical Biomarkers - Indication Selection & Expansion - BD&L Contacts - Conference Reports - Combinatorial Drug Settings - Companion Diagnostics - Drug Repositioning - First-in-class Analysis - Competitive Analysis - Deals & Licensing
Schedule Your 30 min Free Demo!
The AACR (Free AACR Whitepaper) Annual Meeting is widely considered the most prestigious global forum for cancer research. It is where the world’s leading scientists, clinicians, and biotech innovators gather to unveil next-generation oncology breakthroughs. Rakovina’s acceptance to present, highlights growing recognition for its pioneering work at the intersection of AI technology and precision cancer therapy.
AI-Designed Therapies Poised to Transform Cancer Treatment
Rakovina will present two abstracts at the meeting, the first: Discovery of novel PARP1-selective inhibitors for treatment of brain tumors using artificial intelligence, explores the use of artificial intelligence (AI) to develop a novel, brain-penetrant, PARP1-selective inhibitor for treating brain tumors. Current PARP inhibitors face challenges such as poor blood-brain barrier (BBB) permeability and off-target effects due to PARP2 inhibition. By leveraging Deep Docking, a deep learning-based virtual screening method, alongside generative AI algorithms, researchers rapidly identified potential compounds with strong PARP1 selectivity and BBB penetration. The study presents findings from in silico screening of billions of compounds, followed by in vitro and in vivo validation of their efficacy, selectivity, and pharmacokinetic properties. This AI-driven approach enhances the efficiency of drug discovery, offering a promising new treatment option for brain tumors.
The second abstract: Utilizing artificial intelligence for the discovery of a novel CNS-penetrating ATR inhibitor, highlights the use of artificial intelligence (AI) to develop a novel CNS-penetrating ATR inhibitor for treating brain tumors. ATR plays a key role in DNA damage repair, and while ATR inhibitors show therapeutic potential, current options have poor blood-brain barrier (BBB) permeability, limiting their effectiveness against brain tumors and metastases. The Enki platform, an AI-driven approach utilizing generative models and deep learning, was employed to design de novo molecules with optimized potency, selectivity, and BBB penetration. Preliminary results include AI-generated ATR inhibitors validated for target specificity, metabolic stability, and permeability.
"This is an exceptional accomplishment for Rakovina," said Jeffrey Bacha, Executive Chairman of Rakovina Therapeutics. "Being selected by AACR (Free AACR Whitepaper) for two projects highlights the significance of our innovations in drug discovery and their potential to impact patients battling aggressive, treatment-resistant cancers."
The company’s proprietary integration of Deep Docking and Enki AI platforms allows its scientists to evaluate billions of potential compounds at 100x the speed of traditional methods, with 6,000x greater enrichment of viable candidates. These innovations are further supported by Rakovina’s access to the University of British Columbia’s state-of-the-art wet lab infrastructure, enabling rapid in-house testing and optimization.
"What we’re seeing with Rakovina’s AI-enabled pipeline is the future of oncology—faster, smarter, and more precise," said Dr. Mads Daugaard, President and CSO of Rakovina "This integration of generative AI and biological insight is transforming how—and how quickly—we can identify and advance new therapies."
With a world-class team, including the creator of Deep Docking and a former AstraZeneca DDR program director, Rakovina is driving innovation in a space projected to reach $18 billion annually by 2030. The company’s preclinical pipeline is focused on therapies that target DNA-repair vulnerabilities present in up to 75% of solid tumors, with an emphasis on hard-to-treat cancers such as breast, ovarian, prostate, and brain.