Predict 3D antibody structure from heavy + light chain sequences
ImmuneBuilder predicts antibody Fv structures with high CDR loop accuracy, running 100x faster than AlphaFold2. Supports paired heavy-light chain prediction and nanobody structures with per-residue confidence scores.
/v1/antibodies/foldimport requests
import time
API_KEY = "sk-sci-your-key-here"
url = "https://scirouter.ai/v1/antibodies/fold"
response = requests.post(url, json={
"heavy_chain": "EVQLVESGGGLVQPGGSLRLSCAASGFTFS...",
"light_chain": "DIQMTQSPSSLSASVGDRVTITCRASQSIS..."
}, headers={"Authorization": f"Bearer {API_KEY}"})
job = response.json()
# Poll for results
while True:
result = requests.get(f"{url}/{job['job_id']}",
headers={"Authorization": f"Bearer {API_KEY}"})
data = result.json()
if data["status"] == "completed":
print(f"PDB: {len(data['pdb'])} bytes")
print(f"Mean pLDDT: {data['mean_plddt']:.1f}")
break
time.sleep(2)Antibody engineering and humanization
CDR loop modeling for docking studies
Nanobody structure prediction
Antibody developability assessment