The Hyper-C Drug Discovery Process
Hyper-C extracts biomedical data from numerous sources such as scientific literature, clinical trials, patents, Omics datasets, and dedicated biomedical databases and organizes these vast and different data sources into structured form. These structured data form the basis for modeling disease pathophysiology as well as drug mechanism of action on the molecular level. Drug repositioning candidates are identified via network alignment algorithms thus matching drug mechanism of action with disease pathophysiology.
The Hyper-C process in a nutshell: