Accelerate drug discovery from 10+ to 2.5 years
Target Audience
Pharmaceutical researchers, drug development scientists
Challenge
Traditional drug discovery takes 10+ years and costs over $2 billion. Idiopathic pulmonary fibrosis affects approximately 5 million people worldwide with a median survival of just 3-4 years. Current treatments can only slow disease progression but cannot stop or reverse it.
Solution Approach
Insilico used its generative AI platform Pharma.AI, combining PandaOmics for target discovery and Chemistry42 for molecular design, to identify TNIK as a novel target and design a small molecule inhibitor. The AI-powered approach compressed the typical drug discovery timeline from 10+ years to under 30 months.
Value Add
The Phase 2a trial (71 patients across 21 sites) showed significant improvement over the placebo group. Results were published in Nature Medicine in June 2025, representing the first peer-reviewed Phase 2a success for a fully AI-generated drug with an AI-discovered target.
References
Insilico Medicine
Image credentials: Faustina Okeke/ Unsplash
More Interesting Use Cases
5G Energy Efficiency Optimization
Optimize energy management based on real-time data without sacrificing performance.
Legal Content Generation and Analysis for Law Firms
AI analyzes legal documents and generates insights, freeing lawyers to focus on strategic work while reducing costs.
Reduce response time in customer support by up to 95%
Short-term rental management platform deployed AI chatbot to instantly clear 500+ query backlog and handle 30% of ongoing support.