Alpha_BioAgent
Built at Gemini 3 서울 해커톤 · Feb 28, 2026 · 3F Vista

🔥 The Problem: AI "Hallucinations" in Biology Normal AIs (like ChatGPT) are great at talking but bad at physics. If you ask an AI to fix a protein, it often suggests adding a big molecule into a small space. In text, it sounds perfectly logical. But in a real lab, that protein would crash into itself and instantly fall apart (Steric Clash). We call this "Structural Hallucination." ✅ The Solution: Teaching AI to Use Physics Tools Alpha-Agent solves this by forcing the AI to use physical tools (like the Bio.PDB Python library): It Calculates First: Before the AI proposes a mutation, it secretly runs a Python script to measure the exact 3D distance between atoms. It Corrects Itself: If the physical measurement shows that the AI's idea won't fit, the AI realizes its mistake and automatically recalculates until it finds a design that actually works in the real world. In short: Alpha-Agent anchors the AI to reality, giving researchers protein designs they can actually trust in the lab.