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Note: this post was originally published 6th December 2021, and has been updated to reflect new developments in these features.
Here we look at how you can use SMARTS and SMILES in Mercury and the CSD Python API to perform substructure searches, and generate 3D molecules from strings to support your cheminformatics work. Using SMARTS and SMILES allows you to automate large numbers of queries, or perform complex searches that may not be possible by other methods.
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The FAIR Data Principles stand for findability, accessibility, interoperability, and reusability of data for both humans and machines. Here we highlight a few ways CCDC supports the FAIR Data Principles.
I’m a Research and Applications Scientist on the Materials Science team at CCDC. In this short blog and accompanying video, I walk through how to make the most of your CSD-Enterprise licence using the tools in CSD-Materials. In the first half of the video, I focus on the Cambridge Structural Database (CSD), highlighting its integrations with other databases and how to best use it for geometric analysis. In the second half of the video, I discuss applications of the CSD-Materials software, demonstrating how the different tools within the suite can help with pharmaceutical risk analysis.
We recently hosted our 2021 Discovery Science Conference: High-performance data meets high-performance computing. Over the course of the two-day event, leading researchers discussed how drug discovery continues to evolve – with data-driven approaches answering more questions than ever about novel and improved active pharmaceutical ingredients (APIs). Here are some of our key takeaways.
The past year has pushed the importance and challenges of scientific discovery into the spotlight. What lessons can we learn, and what changes can scientific leaders make going forward? In a virtual "fireside chat" the leaders of the CCDC and the RCSB PDB explored this topic, and we share some key learnings from the discussion here.
