Qubigen Intelligent Drug Design (Technology | Qubigen)

Federated AI Drug-Design Engines



Differentiators:

• Avoids risk of exposing sensitive data or IP;

• Helps cleanse, curate and select the right data for a specific project, drawing on data from inside and outside your organization without moving or seeing it;

• Can work on extremely limited data sets, or vast expansive archives;

• Can make cognitive leaps to highly novel candidates for targets both classic and undruggable;

• AI outputs go through extensive auditing, refinement and sanity checks before selection;

• Multiple types of AI: ADMET optimization and prediction, AI candidate generation, synthetic feasibility, virtual screening, safety-tox screening, quantum chemistry.