| RxDM: Data Mining in Drug Discovery Workshop | |
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United States - NV - Sparks |
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| Hosted by: | SIAM |
| Venue: | John Ascuaga’s Nugget |
| Dates: | Apr 30, 2009 through May 02, 2009 |
| Call for Proceedings Presentations: | 2008-11-30 through 2009-01-15 |
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Description |
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| Drug discovery is an expensive and challenging process. In silico methods have played a key role in aiding the discovery process, in pharmaceutical companies and government institutes alike. Government initiatives (Molecular Library Initiative and Chemical Genetics Initiative) have lead to an increase in the amount of available public data in the form of chemical compounds, and experiments analyzing the interaction of compounds with proteins/genes i.e., biological spaces. In conjunction, the advances in sequencing technologies have lead to similar increases in the amount of sequence data in the form of DNA, genes, and proteins. Biological experiments related to gene expression profiling, and structural genomics initiatives have also added another dimension of data. There is a need for mapping the different spaces "biological" with "chemical" to understand the function of complex biological systems, with implications in drug discovery. Suggested Topics (but not limited to the following) include: 1. Structure-Activity Relationship Models. 2. Chemical Descriptor Spaces. 3. Predictive Toxicology. 4. Gene, Disease, Drug Connections. 5. Chemical genetics and chemogenomics 6. Structural Bioinformatics 7. Systems Biology and Drugs 8. Network Pharmacology |
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| Additional Information | |
| Event URL: | http://www.cs.gmu.edu/~hrangwal/rxdm |
| ISCB Member Discount: | None |
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