RepurposeDrugs

RepurposeDrugs is a computational drug discovery and repurposing platform created by Dr. Ziaurrehman Tanoli, an award-winning researcher in AI-driven drug discovery and first author of a 2025 Nature Reviews Drug Discovery paper on computational drug repurposing.

The platform combines:

• curated data on approved, investigational, and withdrawn drugs,

• disease indications across multiple therapeutic areas,

• and machine-learning–based predictive models trained on historical clinical outcomes.

RepurposeDrugs enables users to:

• explore drug–disease relationships through interactive heatmaps and statistics,

• analyze both single agents and drug combinations,

• generate predicted approval likelihoods for novel indications,

• and export results for downstream research and decision-making.

Built for computational scientists, bioinformaticians, and translational researchers, RepurposeDrugs supports early-stage drug discovery, repurposing strategy design, and hypothesis prioritization, helping reduce the cost and time associated with traditional indication discovery.