About This Webinar

For decades, most drug scaffolds have been made from flat, two-dimensional structures, but biological targets inside the body are three-dimensional and complex, which limits how well flat scaffolds can do their job. Spiro[2.3]hexanes are a promising class of compact, three-dimensional scaffolds for drug development. However, they've been largely avoided because they're difficult to synthesize and are often poorly characterized biologically.

In this webinar, our panel will walk through a flexible new synthesis method used to produce these scaffolds. We'll then show how AI-driven predictive analytics in CAS BioFinder® were used to quickly identify the most promising candidates before committing to expensive lab testing. The result is a practical, reproducible workflow that demonstrates how AI and synthetic chemistry can work together to accelerate early-stage drug discovery.