Chemoinfolab: Predict Activity
Chemoinfolab via Parse · healthcare
Predict antifungal activity of peptide sequences. Returns classification (antifungal/non-antifungal with probability), Antifungal Index (AFI), and predicted minimum inhibitory concentration (MIC in μM) against C. albicans, C. krusei, C. neoformans, and C. parapsilosis. API for searching, predicting, and designing antifungal peptides using the Antifungipept platform's machine learning tools. Fulfilled by Parse from antifungipept.chemoinfolab.com.
- antifungipept-chemoinfolab-com
- chemoinfolab
- developer-tools
- healthcare
- other
- parse
- platform-key
Price and execution
- Price
- $0.02 USD credits / call
- Trust tier
- Verified
- Execution
- Managed call
- Capability group
- healthcare
Interface snapshot
- Protocol
- HTTP operation
- Operation
- POST /scraper/51985860-1ffa-4e8a-a5b2-d56957dc7b7d/predict_activity
- Interface artifact
- sha256:6efccbd7be3c0facabc441ca8119f3d87e0ac972a146a7d87ad9d4fd267cbe99
- Manifest digest
- sha256:535a0f8ee07cb9f015ec19f9b27d072a10d5c10173792c74c0e53ad329ebd0ba
Request fields
- sequence (string, required): Peptide sequence(s) in FASTA format (e.g. '>name\nSEQUENCE'). Multiple sequences can be provided separated by newlines.