What a Strong Type System Brings to the Roche Drug Discovery Pipeline

Debrief from a Vaticle Community talk — featuring David Dylus, Scientist, Systems Biology, at Roche. David presents how his team at Roche was able to identify potential novel targets that were not identified by Open Targets as highly ranked. This was made possible with TypeDB, which his team used to store the relevant data and then find underlying biological evidence for those new targets. Three datasets were used: STRING, Oma, and DisGeNET. The team looked at existing targets and selected those already ranked highly and known to have a high association score.