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ADMET Predictor

Predict 41 ADMET endpoints (solubility, permeability, CYP, hERG, toxicity) from SMILES with pretrained Chemprop models

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.

ADMET Predictor: reservation per run, USD
HardwareTypical runtimeBasicStarterProEnterprise
CPUDefault5 min$0.042$0.024$0.015$0.009

In workflows

Chain it with other steps.

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

Inputs

  • Molecules (list)SMILES, INCHI, MOLBLOCK

Outputs

  • ArchiveZIP
  • MoleculesSMILES
  • TableCSV

References

The method behind it.

  1. Kyle Swanson, Parker Walther, Jeremy Leitz et al. (2024). ADMET-AI: a machine learning ADMET platform for evaluation of large-scale chemical libraries. Bioinformatics. doi:10.1093/bioinformatics/btae416 (opens in a new tab)
  2. Kexin Huang, Tianfan Fu, Wenhao Gao et al. (2021). Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development. arXiv. doi:10.48550/arxiv.2102.09548 (opens in a new tab)
  3. Esther Heid, Kevin P. Greenman, Yunsie Chung et al. (2023). Chemprop: A Machine Learning Package for Chemical Property Prediction. Journal of Chemical Information and Modeling. doi:10.1021/acs.jcim.3c01250 (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": "admet-predict", "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": "admet-predict-1", "job_type": "admet-predict", "resource": "cpu", "payload": { ... }}'
Payload fields and examples in the docs

Cheminformatics & Structure

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