Abstract
| Language | English |
|---|---|
| Pages | 101-113 |
| Journal | Semantic Web |
| Volume | 5 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2014 |
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Applying linked data approaches to pharmacology : architectural decisions and implementation. / Gray, Alasdair J G; Groth, Paul; Loizou, Antonis; Askjaer, Sune; Brenninkmeijer, Christian Y A; Burger, Kees; Chichester, Christine; Evelo, Chris T; Goble, Carole; Harland, Lee; Pettifer, Steve; Thompson, Mark; Waagmeester, Andra; Williams, Antony J.
In: Semantic Web, Vol. 5, No. 2, 2014, p. 101-113.Research output: Contribution to journal › Article
TY - JOUR
T1 - Applying linked data approaches to pharmacology
T2 - Semantic Web
AU - Gray, Alasdair J G
AU - Groth, Paul
AU - Loizou, Antonis
AU - Askjaer, Sune
AU - Brenninkmeijer, Christian Y A
AU - Burger, Kees
AU - Chichester, Christine
AU - Evelo, Chris T
AU - Goble, Carole
AU - Harland, Lee
AU - Pettifer, Steve
AU - Thompson, Mark
AU - Waagmeester, Andra
AU - Williams, Antony J
N1 - open access
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
U2 - 10.3233/SW-2012-0088
DO - 10.3233/SW-2012-0088
M3 - Article
VL - 5
SP - 101
EP - 113
JO - Semantic Web
JF - Semantic Web
SN - 1570-0844
IS - 2
ER -