Drug Repurposing Through Network Pharmacology Will Find More Drugs Than De Novo Discovery in the Next Decade
This infographic contrasts slow, traditional drug discovery with rapid network pharmacology. It shows how computationally matching existing drugs to disease protein networks can find new treatments much faster and at a lower cost.
There are ~2,000 FDA-approved drugs. Each interacts with multiple targets. The disease interactome (the network of protein-protein interactions disrupted in disease) overlaps with the target networks of many existing drugs in ways that weren't anticipated when those drugs were designed.
Network pharmacology maps these overlaps computationally. Baricitinib for COVID-19 was identified this way (Stebbing et al., 2020, Lancet Infectious Diseases). Metformin's anti-cancer effects were predicted by network analysis before clinical validation.
Hypothesis: Network pharmacology-driven drug repurposing will account for >30% of new drug indications approved by 2035, exceeding new molecular entity approvals for the first time. The reason: repurposed drugs have known safety profiles, manufacturing processes, and supply chains, reducing time-to-approval from 10-15 years to 3-5 years.
Prediction: At least 50 new indications for existing drugs will be approved via network pharmacology-guided repurposing in the 2025-2035 period, with the majority in oncology and neurodegeneration.
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