ToxinPred Peptide Toxicity Prediction
Predict peptide toxicity from single protein sequences or in batch using an accelerated algorithm.
Accurately predict peptide toxicity from sequence using a MERCI motif based method in addition to machine learning models.
Estimated resource cost: 0.000031
Categories: Ligand/Drug Design & Screening, Protein Design
Key Capabilities
- Uses a unique combination of machine learning methods and motif based approaches to predict peptide toxicity.
- Robustly predicts toxicity of many peptides in one experiment.
- Provides an easy-to-read chart with sequence names and their toxicity prediction label.
Runtime Statistics
| Metric | Value |
|---|---|
| runtime_mean | 6 |
| runtime_median | 4 |
| runtime_std | 22 |
| runtime_90th_percentile | 11 |
| runtime_max | 407 |
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Ready to submit your job?
Review your configuration, then confirm the estimated credit cost before you run the job. Note that credit estimates are not guaranteed and runtime can vary depending on inputs and settings.
Estimated Credits: 0.000031
Invite-only, limited-time access. Please contact ztang@getantibody.com.
Invite-only, limited-time access. Please contact ztang@getantibody.com.