AI Article Synopsis
- Systems chemical biology combines chemistry, biology, and computation to explore how small molecules influence entire biological systems, shaping new drug discovery approaches like drug repurposing and personalized medicine.
- Recent Semantic Web technologies like RDF and SPARQL play a crucial role by enhancing the ability to search and analyze large datasets in this field.
- This paper aims to illustrate how these technologies can revolutionize the drug discovery process.
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.
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| http://dx.doi.org/10.1016/j.drudis.2011.12.019 | DOI Listing |
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