Usage notes

Code-Snippets

curl "https://api.oanor.com/alphafold-api/v1/meta" \
  -H "x-oanor-key: oanor_test_..."

await fetch("https://api.oanor.com/alphafold-api/v1/meta", {
  headers: { "x-oanor-key": "oanor_test_..." }
});

$ch = curl_init("https://api.oanor.com/alphafold-api/v1/meta");
curl_setopt($ch, CURLOPT_HTTPHEADER, ["x-oanor-key: oanor_test_..."]);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
$out = curl_exec($ch);

import requests
requests.get(
    "https://api.oanor.com/alphafold-api/v1/meta",
    headers={"x-oanor-key": "oanor_test_..."}
)

Beispiel-Response

Echte Antwort dieses Endpoints, erfasst beim letzten Health-Check.

{
    "data": {
        "note": "DeepMind's AlphaFold predicted 3D structures for over 200 million proteins, hosted by EMBL-EBI. /v1/prediction?uniprot=P00520 = the AlphaFold model for a protein (looked up by UniProt accession) — its gene, protein description, organism, sequence length, model version and creation date, the global confidence metric, the full amino-acid sequence, and direct download links to the structure as mmCIF, PDB and BinaryCIF plus the predicted-aligned-error (PAE) plot image and data; /v1/summary?uniprot=P00520 = the protein's complete structural coverage — every experimental structure (PDB) and predicted model (AlphaFold) available for it, each with provider, model category, experimental method, resolution and the UniProt residue range it covers. Proteins are identified by UniProt accession (e.g. P00520, P38398). Data from the AlphaFold DB (CC-BY 4.0). For experimental 3D structures see the PDB API, for protein sequences & annotation UniProt, for families & domains InterPro.",
        "source": "AlphaFold Protein Structure Database — EMBL-EBI & Google DeepMind (alphafold.ebi.ac.uk)",
        "endpoints": [
            "/v1/prediction",
            "/v1/summary",
            "/v1/meta"
        ]
    },
    "meta": {
        "timestamp": "2026-06-01T16:24:09.779Z",
        "request_id": "08c6da10-fec0-4c42-8a30-c0d048a66b88"
    },
    "status": "ok",
    "message": "Meta retrieved",
    "success": true
}