EpHod Optimal Enzyme pH Prediction
EpHod is a semi-supervised language model that predicts optimal pH for enzymes from sequence alone.
EpHod is a semi-supervised language model that predicts optimal pH for enzymes from sequence alone. EpHod leverages learned biophysical features such as proximity to catalytic center, accessibility, and more.
Estimated resource cost: 0.000248
Categories: Protein Design
Tags: Developability Enzymes Proteins Stability
Key Capabilities
- Predict optimal functioning pH for given enzymes from protein sequences.
- Extremely fast batch prediction.
- Supports sequence inputs as text or FASTA files.
Runtime Statistics
| Metric | Value |
|---|---|
| runtime_mean | 23 |
| runtime_median | 21 |
| runtime_std | 11 |
| runtime_90th_percentile | 31 |
| runtime_max | 191 |
Similar Tools
- BioFold
- BioFold2
- BindFilter
- DLKcat Kcat Prediction
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: 0.000248
Invite-only, limited-time access. Please contact ztang@getantibody.com.
Invite-only, limited-time access. Please contact ztang@getantibody.com.