New Paper on Semantics and Drug Discovery Research

By on

A new paper has been published entitled “Systems Chemical Biology and the Semantic Web: What They Mean for the Future of Drug Discovery Research.” The paper was written by David Wild, Ying Ding, Amit Sheth, Lee Harland, Eric Gifford, and Michael Lajiness. It can be downloaded for a fee of $27.95. According to the 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.”

The abstract continues, “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.” Purchase the full paper here.

Image: Courtesy Flickr/

We use technologies such as cookies to understand how you use our site and to provide a better user experience. This includes personalizing content, using analytics and improving site operations. We may share your information about your use of our site with third parties in accordance with our Privacy Policy. You can change your cookie settings as described here at any time, but parts of our site may not function correctly without them. By continuing to use our site, you agree that we can save cookies on your device, unless you have disabled cookies.
I Accept