ImmunologyCPU2 credits

MHC Binding Prediction

Predict peptide-HLA binding affinity for immunotherapy

Predict MHC Class I binding affinity for peptide-HLA pairs using netMHCpan. Essential for neoantigen identification, cancer vaccine design, and T-cell epitope prediction.

$0.02

per API call

credits per call

/v1/immunology/mhc_binding

API endpoint

Features

MHC Class I binding prediction

Support for 12,000+ HLA alleles

Binding affinity in nM and percentile rank

Strong/weak binder classification

Batch peptide processing

Based on netMHCpan 4.1

Quick Start

netMHCpan — Python Examplepython

import requests

API_KEY = "sk-sci-your-key-here"
url = "https://scirouter.ai/v1/immunology/mhc_binding"

response = requests.post(url, json={
    "peptides": ["YLQPRTFLL", "KLPDDFTGCV"],
    "hla_alleles": ["HLA-A*02:01", "HLA-B*07:02"]
}, headers={"Authorization": f"Bearer {API_KEY}"})

results = response.json()
for r in results["predictions"]:
    print(f"{r['peptide']} + {r['allele']}: "
          f"{r['affinity_nm']:.1f} nM ({r['rank']:.2f}%)")