On-Demand 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.

Watch Excelra’s on-demand webinar to learn how data- and mechanism-driven approaches can support more confident decisions across target prioritization, drug repurposing, indication expansion, and patient stratification.

This session demonstrates how integrating biological, molecular, and clinical evidence through a unified, mechanism-of-action (MoA)-anchored framework can generate actionable drug–target–disease–patient hypotheses, strengthen biological confidence, accelerate discovery, and reduce translational risk.

What You’ll Learn

• Target Prioritization
  How disease signatures, pathways, regulatory networks, PPI networks, and gene-modulation profiles can be mapped to identify high-value targets.
• Drug Repurposing
  How gene-expression, structural, disease, interactome, and pathway data can be combined to uncover high-confidence repurposing opportunities.
• Indication Expansion
  How MoA and pathway relationships can be used to identify new therapeutic opportunities for established drugs and targets.
• Patient Stratification
  How biomarkers, mutational status, and pathway activity can be integrated to identify patients most likely to respond.

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?