5374b305_Symposium__Boston__August_2010__2
[0] 15:15 [1] David Wild [2] 
Data mining and querying of integrated chemical and biological information using Chem2Bio2RDF Abstract We have recently developed a freely−available resource called Chem2Bio2RDF that consists of chemical, biological and chemogenomic datasets in a consistent RDF framework, along with SPARQL querying tools that have been extended to allow chemical structure and similarity searching. Chem2Bio2RDF allows integrated querying that crosses chemical and biological information including compounds, publications, drugs, genes, diseases, pathways and side−effects. It has been used for a variety of applications including investigation of compound polypharmacology, linking drug side−effects to pathways, and identifying potential multi−target pathway inhibitors. In the work reported here, we describe a new set of tools and methods that we have developed for querying and data mining in Chem2Bio2RDF, including: Linked Path Generation (a method for automatically identifying paths between datasets and generating SPARQL queries from these paths); an ontology for integrated chemical and biological information; a Cytoscape plugin that allows dynamic querying and network visualization of query results; and a facet−based browser for browsing results. PDF
ACS RDF Symposium, Boston, August 2010
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