Systems chemical biology and the Semantic Web: what they mean for the future of drug discovery research.
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.
Indiana University School of Informatics and Computing, Bloomington, IN, USA. djwild@indiana.edu
David J
DJ
Wild
Ying
Y
Ding
Amit P
AP
Sheth
Lee
L
Harland
Eric M
EM
Gifford
Michael S
MS
Lajiness
D000465:Algorithms; D055808:Drug Discovery; D006801:Humans; D020407:Internet; D012660:Semantics; D049490:Systems Biology / Q000379:methods*