What is it about?
This article describes the goals of the CDD tool and applications with neglected diseases. It is focused on antimalarial and tuberculosis research. The history of CDD is described and the features and functions are outlined. Collaboration is the focus and how we can foster that.
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Why is it important?
As a snapshot in the development of this software its valuable as a reference so that users can see how far it has come since writing this. Many of the features were relatively recent. Since this we have added CDD Vision and CDD Models. As we shift into the realm of big data it will be interesting to see how future versions of the software adapt.
Perspectives
I think this really highlights how software development can take the idea of "collaboration for chemists and biologists" and develop it into a tool that can be used by many to collaborate and share their data internally and / or externally. While the examples we use to highlight data analysis and modeling are in neglected diseases, one could easily imagine how this could also be performed with internal data on a proprietary project.
Dr Sean Ekins
Collaborations in Chemistry
Read the Original
This page is a summary of: The Collaborative Drug Discovery (CDD) Database, January 2013, Springer Science + Business Media,
DOI: 10.1007/978-1-62703-342-8_10.
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