https://doi.org/10.1016/j.drudis.2011.12.019">
 

Title

Systems Chemical Biology and the Semantic Web: What They Mean for the Future of Drug Discovery Research

Document Type

Article

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.

Digital Object Identifier (DOI) (optional)

https://doi.org/10.1016/j.drudis.2011.12.019

APA Citation (optional)

Wild, D. J., Ding, Y., Sheth, A. P., Harland, L., Gifford, E. M., & Lajiness, M. S. (2012). Systems Chemical Biology and the Semantic Web: What They Mean for the Future of Drug Discovery Research. Drug Discovery Today, 17, 469-474. https://doi.org/10.1016/j.drudis.2011.12.019

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