AntiFold
Predict alternative sequences for an input Antibodies, Nanobodies, and Antigen-Antibody structures with high accuracy.
Antifold is an inverse folding model that is capable of predicting amino acids of a Antibodies, Nanobodies, and Antigen-Antibody complexes. Additionally, AntiFold can be used as a way to create functional homologs / mutants of existing Antibodies, Nanobodies, or Antigen-Antibody complexes by inverse folding their structures and sampling the sequence space.
Estimated resource cost: 0.0002945
Categories: Protein Design
Tags: Antibodies Inverse Folding
Key Capabilities
- Allows you to inverse fold Antibodies, Nanobodies, and Antigen-Antibody complexes.
- Includes per sequence metrics like overall confidence and sequence recovery.
- Includes amino acid probabilities by position for reach predicted sequence.
Runtime Statistics
| Metric | Value |
|---|---|
| runtime_mean | 11 |
| runtime_median | 9 |
| runtime_std | 15 |
| runtime_90th_percentile | 17 |
| runtime_max | 174 |
Similar Tools
- ABACUS-R Sequence Design
- BindFilter
- BioPhi
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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: 0.0002945
Invite-only, limited-time access. Please contact ztang@getantibody.com.
Invite-only, limited-time access. Please contact ztang@getantibody.com.