Blog - The Cambridge Crystallographic Data Centre (CCDC)

Our approach to the FAIR Data Principles

Sophie Bryant – Tue, 28 Sep 2021 16:57:00 GMT

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.

Learnings from our Discovery Science Conference: High-performance data meets high-performance computing

Susan Reutzel-Edens – Thu, 17 Jun 2021 22:32:00 GMT

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.

Advancing Structural Science - predictions for the future from data leaders

Carmen Nitsche – Wed, 27 Jan 2021 11:19:00 GMT

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.

Tech giants take on the big problems in science - but are they ready for crystal structures?

Jason Cole – Tue, 06 Oct 2020 09:59:00 GMT

Registration opened today for the 7th CSP Blind Test - the leading challenge in crystal structure prediction. In 1988 Nature editor John Maddox called it "one of the continuing scandals in the physical sciences" that we could not take a 2D molecular structure and predict it's 3D form. This particular puzzle in computational science continues to challenge some of the best practitioners and developers of computational chemistry. Although tech giants have been turning their hand to scientific problems like protein folding, CSP is a very different kind of problem, and might just be a tougher nut to crack.

New industry report asks - are we due a data revolution?

Carmen Nitsche – Fri, 11 Sep 2020 13:41:00 GMT

With every challenge, there is opportunity. Looking into the vast challenge that is COVID-19 it can be difficult to see this, but the pandemic has forced us to contemplate new possibilities in all areas of life, including scientific research.

The world turned to the pharmaceutical industry for help, and the variety of responses makes us question; how did some get ahead while others struggled?

Blog AI

Our approach to the FAIR Data Principles

Learnings from our Discovery Science Conference: High-performance data meets high-performance computing

Advancing Structural Science - predictions for the future from data leaders

Tech giants take on the big problems in science - but are they ready for crystal structures?

New industry report asks - are we due a data revolution?

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