Integrating GPCR-specific information with full text articles

Bas Vroling, David Thorne, Philip McDermott, Teresa K. Attwood, Gert Vriend, Steve Pettifer

    Research output: Contribution to journalArticlepeer-review


    Background: With the continued growth in the volume both of experimental G protein-coupled receptor (GPCR) data and of the related peer-reviewed literature, the ability of GPCR researchers to keep up-to-date is becoming increasingly curtailed.Results: We present work that integrates the biological data and annotations in the GPCR information system (GPCRDB) with next-generation methods for intelligently exploring, visualising and interacting with the scientific articles used to disseminate them. This solution automatically retrieves relevant information from GPCRDB and displays it both within and as an adjunct to an article.Conclusions: This approach allows researchers to extract more knowledge more swiftly from literature. Importantly, it allows reinterpretation of data in articles published before GPCR structure data became widely available, thereby rescuing these valuable data from long-dormant sources. © 2011 Vroling et al; licensee BioMed Central Ltd.
    Original languageEnglish
    Article number362
    JournalBMC Bioinformatics
    Publication statusPublished - 12 Sept 2011


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