%0 Journal Article %1 Wild2011 %A Wild, David %A Ding, Ying %A Sheth, Amit %A Harland, Lee %A Gifford, Eric %A Lajiness, Michael %D 2012 %J Drug Discovery Today %K *cul cul oclcml rdf semantic-web sparql systems-chemical-biology %N 9-10 %P 469--474 %R 10.1016/j.drudis.2011.12.019 %T Systems chemical biology and the Semantic Web: what they mean for the future of drug discovery research %U http://dx.doi.org/10.1016/j.drudis.2011.12.019 %V 17 %X Systems chemical biology, the integration of chemistry, biology and computation to generate understanding about the way small molecules affect biological systems as a whole, as well as related fields such as chemogenomics, are central to emerging new paradigms of drug discovery such as drug repurposing and personalized medicine. Recent Semantic Web technologies such as RDF and SPARQL are technical enablers of systems chemical biology, facilitating the deployment of advanced algorithms for searching and mining large integrated datasets. In this paper, we aim to demonstrate how these technologies together can change the way that drug discovery is accomplished.

@article{Wild2011, abstract = {{Systems chemical biology, the integration of chemistry, biology and computation to generate understanding about the way small molecules affect biological systems as a whole, as well as related fields such as chemogenomics, are central to emerging new paradigms of drug discovery such as drug repurposing and personalized medicine. Recent Semantic Web technologies such as RDF and SPARQL are technical enablers of systems chemical biology, facilitating the deployment of advanced algorithms for searching and mining large integrated datasets. In this paper, we aim to demonstrate how these technologies together can change the way that drug discovery is accomplished.}}, added-at = {2019-03-11T21:00:05.000+0100}, author = {Wild, David and Ding, Ying and Sheth, Amit and Harland, Lee and Gifford, Eric and Lajiness, Michael}, biburl = {https://www.bibsonomy.org/bibtex/28f73016a24529d911d2777f1f4116b5a/fairybasslet}, citeulike-article-id = {10200861}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.drudis.2011.12.019}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/22222943}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=22222943}, comment = {13596446}, day = 29, doi = {10.1016/j.drudis.2011.12.019}, interhash = {019e8173d9eb9489651f3ab7f954624c}, intrahash = {8f73016a24529d911d2777f1f4116b5a}, issn = {13596446}, journal = {Drug Discovery Today}, keywords = {*cul cul oclcml rdf semantic-web sparql systems-chemical-biology}, month = may, number = {9-10}, pages = {469--474}, pmid = {22222943}, posted-at = {2012-01-10 09:05:30}, priority = {2}, timestamp = {2019-03-11T21:06:37.000+0100}, title = {{Systems chemical biology and the Semantic Web: what they mean for the future of drug discovery research}}, url = {http://dx.doi.org/10.1016/j.drudis.2011.12.019}, volume = 17, year = 2012 }