Disease-Type-Aware Biological Intelligence Layers for Preventing Symptom Marker False Positives in Computational Drug Target Identification

Rule-based biological intelligence layers that distinguish disease drivers from symptom markers in computational target identification: a disease-type-aware target classifier with curated blocklists across nine gene families, a tissue expression filter over the Human Protein Atlas, and a known-target validator. The layers reclassify GABRD as a symptom marker in malaria, and block TNF and IL-6 in infectious contexts while preserving them for autoimmune disease.