• Collaboration uses Receptor AI's platform to design highly selective anti-cancer kinase inhibitor products for BriaPro, a BriaCell subsidiary
• Partnership expected to expand BriaPro's small-molecule pipeline
• Aims to accelerate the development of next generation therapeutics with improved efficacy and safety
  
  

BriaCell Therapeutics Corp.  a clinical-stage biotechnology company that develops novel immunotherapies to transform cancer care, has announces that its subsidiary, BriaPro Therapeutics Corp. (“BriaPro”), has initiated a research collaboration with Receptor.AI, an AI-driven drug discovery company, to design anti-cancer isoform-selective kinase inhibitors for multiple cancer indications.

The collaboration will integrate AI-driven molecular design expertise and BriaPro’s proprietary technology to expand BriaPro’s small-molecule pipeline and accelerate the development of selective kinase inhibitors that may enhance immune-mediated tumor targeting and improve cancer patient outcomes.

“This partnership marks an important step in BriaCell’s strategic expansion beyond cell-based immunotherapy into small-molecule discovery, reinforcing its mission to deliver differentiated and complementary approaches to cancer treatment,” stated Dr. William V. Williams, President and CEO of BriaCell and BriaPro.

“Kinase selectivity, down to the isoform level, remains one of the hardest optimization problems in oncology,” said Dr. Alan Nafiev, CEO and Founder of Receptor.AI. “This collaboration is about bringing disciplined, AI-first molecular design and rigorous ADMET constraints to BriaCell’s oncology programs, enhancing precision and translational confidence from the earliest stages of discovery.”

Receptor.AI has developed a multiplatform ecosystem for AI-enabled drug discovery, integrating small-molecule, peptide, and induced-proximity technologies into a unified framework that accelerates therapeutic innovation across modalities. Within the collaboration, Receptor.AI will harness its small-molecule discovery platform to drive target assessment, hit identification, and lead optimization, with a particular focus on achieving precise isoform selectivity among closely related kinases.