DLKcat Kcat Prediction
Predict Kcats of complexes using a protein sequence and compounds in SMILES format.
DLKcat uses a deep learning method to predict the Kcat between a protein sequence and an array of compounds
Estimated resource cost: 0.000248
Categories: Protein Design
Tags: Developability Enzymes Proteins
Key Capabilities
- Predicts Kcats between a target protein and a selection of compounds.
- Offers fast predictions, allowing for Kcat comparisons between many compounds and protein variants.
Runtime Statistics
| Metric | Value |
|---|---|
| runtime_mean | 4 |
| runtime_median | 4 |
| runtime_std | 1 |
| runtime_90th_percentile | 5 |
| runtime_max | 27 |
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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: 0.000248
Invite-only, limited-time access. Please contact ztang@getantibody.com.
Invite-only, limited-time access. Please contact ztang@getantibody.com.