Integrating GPCR-specific information with full text articles

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

doi:10.1186/1471-2105-12-362

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 journal › Article › peer-review

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. © 2011 Vroling et al; licensee BioMed Central Ltd.

Original language	English
Article number	362
Journal	BMC Bioinformatics
Volume	12
DOIs	https://doi.org/10.1186/1471-2105-12-362
Publication status	Published - 12 Sept 2011

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http://www.biomedcentral.com/1471-2105/12/362

The Utopia Suite: realising semantic knowledge discovery and data linkage in the publishing and pharmaceutical industries
Attwood, T. (Participant), Pettifer, S. (Participant), (Participant), (Participant), (Participant) & (Participant)
Impact: Technological, Economic

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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. {\textcopyright} 2011 Vroling et al; licensee BioMed Central Ltd.",

author = "Bas Vroling and David Thorne and Philip McDermott and Attwood, {Teresa K.} and Gert Vriend and Steve Pettifer",

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T1 - Integrating GPCR-specific information with full text articles

AU - Vroling, Bas

AU - Thorne, David

AU - McDermott, Philip

AU - Attwood, Teresa K.

AU - Vriend, Gert

AU - Pettifer, Steve

PY - 2011/9/12

Y1 - 2011/9/12

N2 - 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.

AB - 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.

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DO - 10.1186/1471-2105-12-362

M3 - Article

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VL - 12

JO - BMC Bioinformatics

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Integrating GPCR-specific information with full text articles

Abstract

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The Utopia Suite: realising semantic knowledge discovery and data linkage in the publishing and pharmaceutical industries

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