LigandMPNN
Predict alternative sequences for an input protein structure with high accuracy. Also supports ProteinMPNN and SolubleMPNN.
LigandMPNN is an inverse folding model that is capable of not only predicting the amino acids of a protein structure, but also certain chains, and complexes. Additionally, LigandMPNN can be used as a way to create functional homologs / mutants of existing proteins by inverse folding their structures and sampling the sequence space.
Estimated resource cost: 0.0002945
Categories: Protein Design
Tags: Inverse Folding Nucleotides Proteins Small Molecules Solubility
Key Capabilities
- Sucessor of ProteinMPNN service.
- Supports LigandMPNN, ProteinMPNN and SolubleMPNN.
- Allows you to specify fixed chains and positions.
- Allows you to inverse fold any protein or complex of proteins.
- Supports different sampling techniques to better explore the protein landscape.
- Includes per sequence metrics like overall confidence and sequence recovery.
- Includes amino acid probabilities by position.
Runtime Statistics
| Metric | Value |
|---|---|
| runtime_mean | 220 |
| runtime_median | 80 |
| runtime_std | 636 |
| runtime_90th_percentile | 406 |
| runtime_max | 10514 |
Similar Tools
- ProteinMPNN
- ABACUS-R Sequence Design
- BindFilter
- BoltzGen
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.