Life Sciences
Chemical Analytics Platform
Managing and exploiting growing data resources in chemical design
Many new protein targets have been discovered recently and it has been shown that clinical efficacy is often the result of polypharmacological action of drug molecules (the interaction with more than one protein target). But exploitation of this insight is hampered because we can not efficiently integrate large volumes of heterogeneous data from different disciplines. The data needs to be properly integrated in order to extract useful information that is manageable and applicable in various life science disciplines. This project will develop technologies to improve the integration of ligand and protein data for structure-based prediction of protein-ligand selectivity and polypharmacology.
Image: Anthony Kelly
Managing and exploiting growing data resources in chemical design
Open discovery and exchange for all
Better biomarkers through datasharing
Sequence validation in the DNA barcoding project