How the bio-simulation engine works
BioSim combines pharmacokinetic modelling, weighted organ-response functions, and biological sensitivity profiles to produce reproducible early-stage signals on drug effectiveness and toxicity — fully in silico.
7 organ systems
Brain, heart, lungs, liver, stomach, kidneys, blood — each with its own sensitivity coefficient.
Compound profile
Active ingredient, dosage, route of administration, and mechanism of action.
Weighted scoring
Per-organ effectiveness × sensitivity composes the overall toxicity index.
Deterministic
Same input always produces the same output — fully reproducible for research.
The simulation pipeline
- 1
Input normalisation
Drug name and active ingredient are hashed into a deterministic seed; dosage and route are mapped to bioavailability factors (oral 0.7, IV 1.0, topical 0.4, inhaled 0.85).
- 2
Per-organ resolution
Each of the 7 organs computes effectiveness = base × routeFactor × organModulation, and toxicity = baseTox × doseFactor × sensitivity × variance.
- 3
Side-effect inference
Toxicity thresholds (>10/25/50%) trigger 1, 2 or 3 side effects from organ-specific symptom pools.
- 4
Pharmacokinetic curve
A 24-hour gaussian absorption-elimination model with route-specific peak amplification produces concentration vs. effect curves.
- 5
Composite scoring
Overall effectiveness is the unweighted mean across organs; overall toxicity is sensitivity-weighted.
Limitations
- Simplified physiological model — does not replace PBPK or QSP-grade simulators.
- No drug-drug interaction modelling.
- Population variability (age, genetics, comorbidities) is not yet parameterised.
- Outputs are research signals only, not clinical predictions.
Disclaimer
This system is for research and simulation purposes only and does not replace medical advice, clinical trials, or regulatory drug approval processes.