# Structural Disease Networks — TCGE Benchmark

A curated collection of disease signaling networks analyzed with 
the Theory of Emergent Global Constraints (TCGE) framework.

## Overview
- **Networks**: 100+ disease signaling networks
- **Domains**: Oncology, Pneumology, Neurology, Immunology
- **Metrics**: Fragility Index (FI), algebraic connectivity (λ₂), 
  spectral entropy (EPS_z), edge criticality, bridge analysis
- **Drugs mapped**: 50+ approved therapies with structural profiles

## Key Finding
The Fragility Index predicts therapeutic response class:
- FI > 90%: Ultra-fragile → treatment-refractory (COPD)
- FI ≥ 80%: Hyper-fragile → structural restoration transforms outcome (CF/Trikafta)
- FI > 60%: Fragile → monotherapy works (asthma, IPF)
- FI ≈ 50%: Resilient → combination required (NSCLC)

## Platform
Full analysis engine: https://cognitive-engineering.dev

## Citation

If you use this dataset, please cite:

@article{venti2026structural,
  title={Protein regulatory architectures segregate into two topological 
         regimes: distributed cooperative systems and fragile signalling cascades},
  author={Venti, David Martin},
  year={2026},
  doi={10.5281/zenodo.19045028}
}

@article{venti2026triangular,
  title={Triangular solidification: local motif redundancy drives a sharp 
         structural transition in complex networks},
  author={Venti, David Martin},
  year={2026},
  doi={10.5281/zenodo.19163066}
}

## License
CC BY 4.0