Selecting which targets to work on within a chosen therapeutic area is one of the biggest challenges of drug discovery. A steady progression of downstream effort flows from that single decision.
At Exscientia, we have taken the view that no single laboratory can offer the solution to target selection. Instead, we have concentrated on novel approaches to mine the public corpus of genetic data and biology literature to determine when there is sufficient information to initiate work on a target or interest.
Our systems apply deep learning to comprehensive knowledge graphs allowing us to understand and exploit global research trajectories and emerging hotspots of attention.