title: Integrating GPCR-specific information with full text articles.
abstract: 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.
authors.affiliation: CMBI, NCMLS, Radboud University Nijmegen Medical Centre, Geert Grooteplein 26-28, Nijmegen, 6525 GA, The Netherlands.
authors.forename: Bas
authors.initials: B
authors.lastname: Vroling
authors.forename: David
authors.initials: D
authors.lastname: Thorne
authors.forename: Philip
authors.initials: P
authors.lastname: McDermott
authors.forename: Teresa K
authors.initials: TK
authors.lastname: Attwood
authors.forename: Gert
authors.initials: G
authors.lastname: Vriend
authors.forename: Steve
authors.initials: S
authors.lastname: Pettifer
mesh_terms: D000818:Animals; D057225:Data Mining; D030562:Databases, Protein; D006801:Humans; D007256:Information Systems; D010506:Periodicals as Topic; D043562:Receptors, G-Protein-Coupled / Q000737:chemistry / Q000235:genetics / Q000378:metabolism
chemical_list: D043562:Receptors, G-Protein-Coupled