in silico
Phase 1 : In Silico Validation
- Objectif
- To computationally model the proposed AND-gate circuit’s dynamics, predict its performance in the bone defect microenvironment, and identify critical failure points before any wet-lab work.
- Coût estimé
- €0-1500 (software licenses if commercial tools required)
- Durée estimée
- 4-8 weeks
- Critères de réussite
- Predicted ON/OFF Ratio · Model predicts an ON state (Hypoxia+TNF-α) BMP-2 output ≥ 30-fold higher than any OFF state (single or no stimulus). · (Ratio calculated from simulated BMP-2 secretion rates at steady-state for all input combinations.)
- Predicted Spatial Specificity · ≥85% of simulated BMP-2 production is confined to the hypoxic core (<2% O₂) of the defect where TNF-α > 20 pg/mL. · (Analysis of BMP-2 concentration maps from the coupled agent-based model.)
- On continue si
- Both success criteria are met, and the model predicts the target bone volume (0.5-1.5 mm³) is achievable with realistic parameter values.
- On arrête si
- Model predicts ON/OFF ratio < 10:1 OR >15% of BMP-2 is produced in normoxic regions, indicating fundamental logic failure.
- On réoriente si
- Model identifies a single weak component (e.g., poor pNF-κB dynamic range). Proceed to Phase 2 but prioritize testing that component in vitro first.
- Risques
- Lack of accurate kinetic parameters for the specific genetic parts leads to unreliable predictions.Probabilité : mediumParade : Use parameter ranges from literature and perform extensive sensitivity analysis. If predictions are highly sensitive to an unknown parameter, flag it for priority experimental measurement in Phase 2.
- The model oversimplifies the complex 3D defect microenvironment (e.g., ignores vascular ingrowth dynamics).Probabilité : highParade : Incorporate a simplified angiogenesis module based on published rules and validate model predictions against key literature findings (e.g., hypoxia duration). Treat model as a guide, not a perfect predictor.