Looks at a network-medicine framework for prioritizing approved drugs that could modulate aging hallmarks and guide repurposing.
Key Takeaways
- Mapped 2,358 longevity-associated genes onto the human interactome to define hallmark modules
- Calculated network proximity of 6,442 compounds to each hallmark module for prioritization
- Developed pAGE, a transcription-based metric to assess drug effects on age-related expression