AI-Powered Drug Discovery Expands Searchable Molecules Twentyfold, Triples Hit Rate

SandboxAQ demonstrated a neurodegenerative disease project where computational modeling expanded the accessible chemical space from 250,000 to 5.6 million molecules while achieving a 30-fold increase in hit rate versus traditional screening. The result illustrates how quantitative AI models can accelerate early-stage drug discovery by broadening the molecular search space and improving the odds of identifying viable therapeutic candidates. The company now integrates these models with Anthropic's Claude through the Model Context Protocol, making such capabilities accessible through conversational interfaces.