RepoRx
Research Platform for AI Drug Rediscovery
Case Study
Metformin
A Hidden Cure
50 years hiding in plain sight.
1950s
Metformin approved for diabetes. Used by millions to lower blood sugar.
1978
A single report noticed metformin was linked to reduced tumor size. The study was largely ignored.
2005
Anti-tumor properties finally confirmed through proper studies. Clinical trials begin for cancer treatment.
The Problem
Developing new drugs is
incredibly costly and time-consuming.
$2.6B
Average cost to bring a single new drug to market
10-15 yrs
Typical development timeline from lab bench to patient bedside
90%
Of drugs entering clinical trials will ultimately fail
Meanwhile, potentially effective FDA-approved drugs for other conditions remain completely underexplored for repurposing.
We're solving a part of the drug pipeline that is currently
INVISIBLE
The connections between existing drugs and new therapeutic applications exist in the literature — buried across millions of papers that no human research team can fully review.
The Challenge
The search space is simply
too large.
Researchers need help navigating the ever-expanding medical literature.
36M+
Papers in PubMed alone
1.5M
New papers published per year
4,000+
FDA-approved drugs to evaluate
The Opportunity
New simulation tools have
changed everything.
Computational Drug Docking
Molecular simulation tools can predict how a drug will bind to a protein target, scoring affinity and stability without a physical lab.
The Platform
Built for researchers.
A three-panel workspace: literature on the left, data in the center, drug details on the right — everything in context, nothing lost.
Research Query
Systemic Lupus Erythematosus