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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
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