Webinar
Mechanism-Driven Drug Discovery: A Data-Integrated Framework

Data- and mechanism-driven approaches are reshaping drug discovery. By integrating biological, molecular, and clinical evidence, teams can make more confident decisions across target prioritization, drug repurposing, indication expansion, and patient stratification.

In this webinar, we’ll explore a unified, MoA-anchored framework and its practical applications:

• Target prioritization: Mapping disease signatures, pathways, regulatory networks, PPI networks, and gene-modulation profiles to identify high-value targets.
• Drug repurposing: Combining gene-expression, structural, disease, interactome, and pathway data to uncover high-confidence repurposing opportunities.
• Indication expansion: Using MoA and pathway relationships to identify new therapeutic opportunities for established drugs and targets.
• Patient stratification: Integrating biomarkers, mutational status, and pathway activity to identify patients most likely to respond.

Together, these capabilities generate actionable drug–target–disease–patient hypotheses, strengthen biological confidence, accelerate discovery, and reduce translational risk.

Four Questions This Session Answers

• Which targets matter most?
• Can an existing drug be repurposed?
• What new indications could be pursued?
• Which patients are most likely to respond?