/v1/network
Interaction network among proteins
Provalo dal vivo
10 chiamate gratuite al giorno — senza registrazione, senza chiave API. Passa dal gateway oanor.
Funziona. Prendi una chiave API e usala nel tuo progetto.
Ottieni una chiave APIFrammenti di codice
curl "https://api.oanor.com/string-api/v1/network" \ -H "x-oanor-key: oanor_test_..."
await fetch("https://api.oanor.com/string-api/v1/network", {
headers: { "x-oanor-key": "oanor_test_..." }
});
$ch = curl_init("https://api.oanor.com/string-api/v1/network");
curl_setopt($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/string-api/v1/network",
headers={"x-oanor-key": "oanor_test_..."}
)
Risposta di esempio
Una risposta reale di questo endpoint, acquisita dall'ultimo health check.
{
"data": {
"edges": 6,
"input": [
"TP53",
"MDM2",
"EGFR",
"CDKN1A"
],
"nodes": 4,
"network": [
{
"score": 0.897,
"evidence": {
"fusion": 0,
"database": 0.65,
"textmining": 0.718,
"coexpression": 0,
"cooccurrence": 0,
"experimental": 0,
"neighborhood": 0
},
"protein_a": "MDM2",
"protein_b": "EGFR",
"string_id_a": "9606.ENSP00000258149",
"string_id_b": "9606.ENSP00000275493"
},
{
"score": 0.98,
"evidence": {
"fusion": 0,
"database": 0,
"textmining": 0.873,
"coexpression": 0.072,
"cooccurrence": 0,
"experimental": 0.848,
"neighborhood": 0
},
"protein_a": "MDM2",
"protein_b": "CDKN1A",
"string_id_a": "9606.ENSP00000258149",
"string_id_b": "9606.ENSP00000384849"
},
{
"score": 0.999,
"evidence": {
"fusion": 0,
"database": 0.9,
"textmining": 0.999,
"coexpression": 0.116,
"cooccurrence": 0,
"experimental": 0.999,
"neighborhood": 0
},
"protein_a": "MDM2",
"protein_b": "TP53",
"string_id_a": "9606.ENSP00000258149",
"string_id_b": "9606.ENSP00000269305"
},
{
"score": 0.943,
"evidence": {
"fusion": 0,
"database": 0,
"textmining": 0.919,
"coexpression": 0,
"cooccurrence": 0,
"experimental": 0.329,
"neighborhood": 0
},
"protein_a": "TP53",
"protein_b": "EGFR",
"string_id_a": "9606.ENSP00000269305",
"string_id_b": "9606.ENSP00000275493"
},
{
"score": 0.999,
"evidence": {
"fusion": 0,
"database": 0.9,
"textmining": 0.96,
"coexpression": 0,
"cooccurrence": 0,
"experimental": 0.925,
"neighborhood": 0
},
"protein_a": "TP53",
"protein_b": "CDKN1A",
"string_id_a": "9606.ENSP00000269305",
"string_id_b": "9606.ENSP00000384849"
…