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Protein Fitness Models

Learn a sequence-to-property model from a few dozen measured variants on protein language model embeddings, and map every single substitution

Open in the appRun via API

Hardware and price

Price per run

What a typical run reserves from your wallet: the catalog's expected runtime on each piece of hardware × your plan's per-second rate. Larger inputs reserve more, and you're charged only for the seconds the job actually runs.

Protein Fitness Model Training: reservation per run, USD
HardwareTypical runtimeBasicStarterProEnterprise
Nvidia T415 min$0.51$0.37$0.30$0.23
Nvidia L415 min$0.70$0.50$0.40$0.30
Nvidia A10Default15 min$0.96$0.68$0.55$0.41

In workflows

Chain it with other steps.

Each input and output has a data kind, so the builder only connects steps that fit.

Inputs

  • Table (list) · optionalCSV, TSV, JSON
  • Protein sequences · optionalFASTA, RAW

Outputs

  • ArchiveZIP
  • TableCSV
  • TableCSV
  • Trained modelOPAQUE

Ready-made workflows that use it

References

The method behind it.

  1. Zeming Lin, Halil Akin, Roshan Rao et al. (2023). Evolutionary-scale prediction of atomic-level protein structure with a language model. Science. doi:10.1126/science.ade2574 (opens in a new tab)
  2. Salvatore Candido, Thomas Hayes, Alexander Derry et al. (2026). Language Modeling Materializes a World Model of Protein Biology. openRxiv. doi:10.64898/2026.06.03.729735 (opens in a new tab)

Run via API

Submit it from your own code.

Use an API key from your account. The estimate uses your plan's rates; submitting reserves that amount from your wallet.

# Estimate the reservation for your plan (payload fields: see the API reference)
curl -X POST https://api.cognichem.com/api/v1/jobs/estimate \
  -H "X-Api-Key: $COGNICHEM_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"job_type": "train-protein-fitness", "resource": "a10", "payload": {}}'

# Submit (retrying with the same Idempotency-Key never submits twice)
curl -X POST https://api.cognichem.com/api/v1/jobs/submit \
  -H "X-Api-Key: $COGNICHEM_API_KEY" \
  -H "Idempotency-Key: $(uuidgen)" \
  -H "Content-Type: application/json" \
  -d '{"job_name": "train-protein-fitness-1", "job_type": "train-protein-fitness", "resource": "a10", "payload": { ... }}'
Payload fields and examples in the docs

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