ProteinsCPU3 credits

Sequence Search — MMseqs2

Ultrafast sequence search against SwissProt and UniRef

Search protein sequences against SwissProt and UniRef databases using MMseqs2. Orders of magnitude faster than BLAST with comparable sensitivity for detecting homologs.

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Examples:

Demo folds the query. Full search finds similar proteins in UniProt/PDB databases.

$0.03
per API call
3
credits per call
/v1/proteins/search
API endpoint

Features

Search SwissProt and UniRef databases
100-1000x faster than BLAST
E-value and identity scoring
Alignment output
Comparable sensitivity to BLAST
CPU-based, no GPU needed

Quick Start

MMseqs2 — Python Examplepython
import requests

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

response = requests.post(url, json={
    "sequence": "MKFLILLFNILCLFPVLAADNHGVS...",
    "database": "swissprot",
    "max_hits": 10
}, headers={"Authorization": f"Bearer {API_KEY}"})

hits = response.json()["hits"]
for hit in hits:
    print(f"{hit['accession']}: {hit['identity']:.1f}% "
          f"(E={hit['evalue']:.1e})")

Use Cases

1

Finding protein homologs at scale

2

Functional annotation by sequence similarity

3

Phylogenetic analysis preprocessing

4

Deorphanizing uncharacterized proteins

Start Using Sequence Search

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