The discovery of new medicines requires pharmacologists to interact with a number of information sources ranging from tabular data to scientific papers, and other specialized formats. In this application report, we describe a linked data platform for integrating multiple pharmacology datasets that form the basis for several drug discovery applications. The functionality offered by the platform has been drawn from a collection of prioritised drug discovery business questions created as part of the Open PHACTS project, a collaboration of research institutions and major pharmaceutical companies. We describe the architecture of the platform focusing on seven design decisions that drove its development with the aim of informing others developing similar software in this or other domains. The utility of the platform is demonstrated by the variety of drug discovery applications being built to access the integrated data.
Alasdair J. G. Gray, Paul Groth, Antonis Loizou, Sune Askjaer, Christian Brenninkmeijer, Kees Burger, Christine Chichester, Chris T. Evelo, Carole Goble, Lee Harland, Steve Pettifer, Mark Thompson, Andra Waagmeester, Antony J. Williams
Full publication: Semantic Web, Volume 5, No. 2, 2014