GenomicsHybrid5 credits

Variant Effect Prediction

Score mutation pathogenicity and generate neoantigen peptides

Predict the functional impact of amino acid substitutions using ESM-1v language model scores combined with ClinVar clinical annotations. Generate neoantigen peptides for downstream immunology analysis.

$0.05
per API call
5
credits per call
/v1/genomics/variant_effect
API endpoint

Features

Pathogenicity scoring with ESM-1v
ClinVar clinical annotation lookup
Neoantigen peptide generation
Support for common mutation formats
Cancer variant context from COSMIC
Batch mutation processing

Quick Start

ESM-1v + ClinVar — Python Examplepython
import requests

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

response = requests.post(url, json={
    "gene": "BRAF",
    "mutation": "V600E"
}, headers={"Authorization": f"Bearer {API_KEY}"})

result = response.json()
print(f"Pathogenicity: {result['pathogenicity_score']:.3f}")
print(f"ClinVar: {result['clinvar_significance']}")
print(f"Neoantigens: {len(result['neoantigen_peptides'])}")

Use Cases

1

Interpreting sequencing results

2

Identifying actionable cancer mutations

3

Feeding neoantigen candidates to vaccine pipelines

4

Variant prioritization in research

Start Using Variant Effect Prediction

500 free credits every month. No credit card required.