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Tools · Computational Biology

Stability ΔΔG Predictor

Rank point variants of a protein by predicted change in folding stability, or scan residues to alanine

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.

Stability ΔΔG Predictor: reservation per run, USD
HardwareTypical runtimeBasicStarterProEnterprise
CPUDefault2 min$0.017$0.0096$0.006$0.0036

In workflows

Chain it with other steps.

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

Inputs

  • Protein sequences · optionalFASTA, RAW
  • Protein structurePDB
  • Protein sequences (list) · optionalFASTA, RAW

Outputs

  • ArchiveZIP
  • TableCSV
  • Protein sequencesFASTA

Ready-made workflows that use it

References

The method behind it.

  1. J. Dauparas, I. Anishchenko, N. Bennett et al. (2022). Robust deep learning–based protein sequence design using ProteinMPNN. Science. doi:10.1126/science.add2187 (opens in a new tab)
  2. Henry Dieckhaus, Michael Brocidiacono, Nicholas Z. Randolph et al. (2024). Transfer learning to leverage larger datasets for improved prediction of protein stability changes. Proceedings of the National Academy of Sciences. doi:10.1073/pnas.2314853121 (opens in a new tab)
  3. Kotaro Tsuboyama, Justas Dauparas, Jonathan Chen et al. (2023). Mega-scale experimental analysis of protein folding stability in biology and design. Nature. doi:10.1038/s41586-023-06328-6 (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": "stability-ddg", "resource": "cpu", "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": "stability-ddg-1", "job_type": "stability-ddg", "resource": "cpu", "payload": { ... }}'
Payload fields and examples in the docs

Computational Biology

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