Webinar: Large-scale cross-dataset mining of chemical and biological datasets for drug discovery
Date: May 8, 2013
Time: 11:00 am (US EDT)
The last decade has seen a huge increase in the amount of publicly available data on chemical compounds, drugs, protein targets, genes, diseases, and biological pathways. This data is generally stored in datasets siloed by data type or experimental type. In the Cheminformatics & Chemogenomics Research Group (CCRG) we are researching ways in which new data integration and data mining technologies can be used to identify biological insights and associations that cross these types of data, for application in recent approaches to drug discovery including polypharmacology, and systems chemical biology. This talk will describe some of these technologies and how they can be used for data mining. More information on the CCRG is at http://djwild.info
David Wild joined Indiana University in 2004, after working for several years in the pharmaceutical industry and as a computational drug discovery consultant. He is currently an Associate Professor in the School of Informatics and Computing, and directs the Cheminformatics and Chemogenomics Research Group (CCRG), focused on large scale semantic data integration, searching and and data mining, primarily on chemical and biological information. He also directs educational programs in cheminformatics at the University, including an innovative distance education program. He has been PI or CoPI on around $2m of funding, and has over 40 scholarly publications. He is Editor-in-Chief (along with Chris Steinbeck at the EBI) of the Journal of Cheminformatics (http://www.jcheminf.com), and works as editorial advisor or reviewer to many journals. He is involved in several scientific organizations including the Chemical Structure Association Trust, the American Chemical Society, the International Chemical Biology Society, and the Concept Web Alliance. He has helped organize many conferences and symposia in this field. More information on his research work can be found at http://djwild.info.