OpenAI Multi-Agent Bio Protocol Enhancement System

plate Adherence:** Uses MOTS-c structure as skeleton, adapts to TB-500 specifics.

**Cost Justification:** Mini handles structured content generation. Repeats similar task across 132 protocols.

---

5. Drug Interaction Specialist (gpt-5-mini)

**Responsibility:** Comprehensive drug interaction mapping across all major classes

**Input:**

• Protocol molecule (TB-500)
• Mechanism of action (pro-angiogenic, anti-inflammatory, actin-binding)
• Current drug interaction list (39 classes)

**Knowledge Base:**

```json

{

"tb500_mechanism": {

"angiogenesis": "Upregulates VEGF, promotes new blood vessel formation",

"inflammation": "Modulates NF-κB pathway, reduces pro-inflammatory cytokines",

"tissue_repair": "Actin-binding protein, cellular migration, wound healing"

}

}

```

**Interaction Logic:**

```

IF mechanism == "pro-angiogenic" AND drug_class == "anticoagulant"

THEN interaction_severity = "MODERATE-HIGH"

RATIONALE: "Enhanced bleeding risk due to increased vascular permeability + anticoagulation"

IF mechanism == "anti-inflammatory" AND drug_class == "corticosteroids"

THEN interaction_severity = "SYNERGISTIC"

RATIONALE: "Additive anti-inflammatory effects, may allow corticosteroid dose reduction"

```

**Output:**

```markdown

Drug Interactions: Comprehensive Matrix

#### ANTICOAGULANTS & ANTIPLATELETS (MODERATE-HIGH RISK)