AI-Powered Antibiotic Discovery
Using LLMs and Knowledge Graphs to accelerate pharmaceutical research
This research introduces an innovative LLM-based pipeline that acts as an alarm system to prevent costly rediscoveries in antibiotic development.
- Integrates organism and chemical literature into a Knowledge Graph
- Detects prior evidence of antibiotic activity before resources are invested
- Addresses the pharmaceutical industry's challenges of high costs ($1B+), long timelines, and high failure rates
- Helps combat growing antimicrobial resistance (AMR) by streamlining the discovery process
Why it matters: With antimicrobial resistance threatening global health, this AI approach could significantly reduce the time and cost of bringing new antibiotics to market—a critical need as existing antibiotics lose effectiveness.