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Explore our structural chemistry software here, to support research in drug discovery, particle behaviour, solid form analysis and functional materials design, all using the world’s largest crystal structure database: the Cambridge Structural Database (CSD).
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Our mission is to advance structural science for the public benefit — here you can explore and access our free data, software, training support and educational resources.
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See how CSD data and software have been applied through case studies, webinars, white papers and more.
Consultancy Services
Consultancy Services
With over 50 years at the forefront of structural chemistry, you’re in safe hands with CCDC Consultancy.
Research
Research
As well as providing data and software, we also conduct research and regularly publish on topics around structural chemistry and data science, collaborating with leading researchers, in both academia and industry.
Support and Resources
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Helping you get the most out of the CSD data and software, use these pages to get support, find licensing information, view documentation and other resources, and download software.
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CCDC > How an Ecosystem-Driven Electronic Lab Notebook (ELN) Accelerates R and D

How an Ecosystem-Driven Electronic Lab Notebook (ELN) Accelerates R and D

Date of Event

17 March 2026

Tuesday, March 17th, 1pm EDT / 10am PDT for 60 min

In this XTalks webinar, in partnership with Sapio Sciences, Shalini John Jubilant, PhD, Product Manager, Cambridge Crystallographic Data Centre, will discuss our protein-ligand docking tool GOLD.

Scientific discovery moves faster when digital tools operate as a connected ecosystem rather than in isolation. This webinar explores how an AI-enabled electronic lab notebook (ELN) can evolve into an ecosystem-driven research workspace by integrating trusted technologies across cloud computing, AI, molecular modeling, cheminformatics, simulation, scientific publishing and data intelligence.

Scientists state their intent in natural language, while the AI-native, ecosystem-driven ELN orchestrates validated tools and captures results in a single, governed experiment record. Through the demonstrations of real, end-to-end workflows, attendees will see how this approach reduces friction, preserves traceability and lets scientists focus on discovery rather than software.

Register for this webinar to see how an ecosystem-driven, AI-enabled ELN supports real-world, end-to-end scientific workflows.