EnzBert E.C. Prediction
Enzbert predicts enzymatic classes of protein sequences in batch or individually.
Enzbert predicts enzymatic classes from sequence using an attention transformer model.
Estimated resource cost: 0.0002945
Categories: Sequence Analysis & Annotation
Key Capabilities
- Predict monofunctional enzyme classes from sequence alone.
- Uses state-of-the-art attention model to achieve 95% accuracy on EC40 benchmarks.
- Supports large batch predictions without long compute times.
Runtime Statistics
| Metric | Value |
|---|---|
| runtime_mean | 9 |
| runtime_median | 6 |
| runtime_std | 8 |
| runtime_90th_percentile | 18 |
| runtime_max | 63 |
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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: 0.0002945
Invite-only, limited-time access. Please contact ztang@getantibody.com.
Invite-only, limited-time access. Please contact ztang@getantibody.com.