ESM-IF1
Predict alternative sequences for an input protein structure with high accuracy.
The ESM-IF1 inverse folding model predicts protein sequences from their backbone atom coordinates, trained with 12M protein structures predicted by AlphaFold2.
Estimated resource cost: 0.0002945
Categories: Protein Design
Tags: Inverse Folding Proteins
Key Capabilities
- Allows you to inverse fold any protein or complex of proteins.
- Includes options to control which chains to design and which to keep fixed.
- Supports different sampling techniques to better explore the protein landscape.
- Includes per sequence metrics such as an overall score and sequence recovery.
- Includes amino acid probabilities by position.
Runtime Statistics
| Metric | Value |
|---|---|
| runtime_mean | 449 |
| runtime_median | 39 |
| runtime_std | 2092 |
| runtime_90th_percentile | 728 |
| runtime_max | 32469 |
Similar Tools
- ABACUS-R Sequence Design
- LigandMPNN
- MIF-ST
- ProteinMPNN
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: 0.0002945
Invite-only, limited-time access. Please contact ztang@getantibody.com.
Invite-only, limited-time access. Please contact ztang@getantibody.com.