Americas session
Thursday, Dec 10th, 2026, 10am PST / 1pm EST

A molecule passes through many hands in drug discovery. Medicinal chemists design and synthesise it, analytical scientists characterise it, and biology teams evaluate its activity. Yet the scientific knowledge generated along the way often remains fragmented across disconnected systems, making it difficult to connect what was made, how it was made, and what happened when it was tested.

As chemistry and biology workflows become increasingly interconnected, research organisations have an opportunity to rethink how they capture, connect, and learn from experimental data. By bringing molecular relationships, synthetic history, and biological results together, scientists can build a more complete understanding of their research, accelerate collaboration, and make better-informed decisions about what to explore next.

Join Benchling’s Pamela Nasr, Product Manager of Benchling Chemistry, and Zach Reinert, Solutions Consultant, as we explore how connecting chemistry and biology on a shared R&D platform can transform the molecule’s journey from design through discovery. We’ll examine practical approaches to making scientific data more accessible and reusable, and how connected experimental knowledge creates new opportunities for AI-enabled research.

Participants will learn how to:

• Understand how fragmented chemistry and biology data limits scientific collaboration, knowledge reuse, and decision-making.

• Explore how connecting molecular structures, reaction history, and biological results creates a more complete scientific record across the discovery process.

• Discover practical approaches to capturing and organising chemistry data that make experimental knowledge easier to search, share, and build upon.

• Understand how connected scientific context can support informed decision-making and enable AI-driven drug discovery.