Google DeepMind
AI research lab behind AlphaFold, which transformed protein structure prediction.
Structure prediction1 model
Models on Rafflesia
AlphaFold2 monomer
activeApache-2.0 / CC-BY-4.0 parameters
Predict one protein chain with pinned AlphaFold2 parameters in deterministic single-sequence mode.
Structure predictionprotein_sequence → structure_artifact + confidence_measurements
$0.08 / predictionAbout
Google DeepMind is an AI research lab whose AlphaFold system set the standard for accurate protein structure prediction and earned the 2024 Nobel Prize in Chemistry for its creators.
On Rafflesia, the AlphaFold2 monomer pipeline is served for production use via the runs API, with MSAs built by Rafflesia's Tomato homology engine.
Use these models
Every endpoint speaks the same run lifecycle: POST the endpoint id and a typed input, get a run back with outputs, provenance, and measured billing.
run.sh
# one run lifecycle, every endpoint
curl https://api.rafflesia.ai/v1/runs \
-H "Authorization: Bearer $RAFFLESIA_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"endpoint": "google-deepmind/alphafold/2-monomer/fold",
"input": { "sequence": "MKTAYIAK..." }
}'