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Tools · Computational Biology

Protein / Antibody Developability Screen

Screen protein and antibody chains for pI, charge, GRAVY, instability, and sequence liability motifs

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 / Antibody Developability Screen: reservation per run, USD
HardwareTypical runtimeBasicStarterProEnterprise
CPUDefault1 min$0.0084$0.0048$0.003$0.0018

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 (list) · optionalFASTA, RAW
  • Structures (list) · optionalPDB, CIF

Outputs

  • ArchiveZIP
  • Protein sequencesFASTA
  • StructuresPDB
  • TableCSV

References

The method behind it.

  1. Tushar Jain, Tingwan Sun, Stéphanie Durand et al. (2017). Biophysical properties of the clinical-stage antibody landscape. Proceedings of the National Academy of Sciences. doi:10.1073/pnas.1616408114 (opens in a new tab)
  2. Jack Kyte, Russell F. Doolittle (1982). A simple method for displaying the hydropathic character of a protein. Journal of Molecular Biology. doi:10.1016/0022-2836(82)90515-0 (opens in a new tab)
  3. Kunchur Guruprasad, B. V. Bhasker Reddy, Madhusudan W. Pandit (1990). Correlation between stability of a protein and its dipeptide composition: a novel approach for predicting in vivo stability of a protein from its primary sequence. Protein Engineering, Design and Selection. doi:10.1093/protein/4.2.155 (opens in a new tab)
  4. Peter J. A. Cock, Tiago Antao, Jeffrey T. Chang et al. (2009). Biopython: freely available Python tools for computational molecular biology and bioinformatics. Bioinformatics. doi:10.1093/bioinformatics/btp163 (opens in a new tab)
  5. James Dunbar, Charlotte M. Deane (2016). ANARCI: antigen receptor numbering and receptor classification. Bioinformatics. doi:10.1093/bioinformatics/btv552 (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": "protein-developability", "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": "protein-developability-1", "job_type": "protein-developability", "resource": "cpu", "payload": { ... }}'
Payload fields and examples in the docs

Computational Biology

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