OmegaFold
Accurate de novo protein structure prediction without reliance on MSAs.
OmegaFold is an advanced computational tool for high-resolution de novo protein structure prediction directly from primary amino acid sequences. Unlike traditional methods that depend on multiple sequence alignments (MSAs), OmegaFold utilizes a novel combination of a protein language model and a geometry-inspired transformer model trained on protein structures. This approach enables accurate predictions for proteins lacking homologous sequences, such as orphan proteins and rapidly evolving antibodies, thereby filling a critical gap in structural biology.
Estimated resource cost: 0.001178
Categories: Structure Prediction & Folding
Tags: Protein Folding Proteins
Key Capabilities
- Predicts high-resolution protein structures directly from primary sequences without the need for multiple sequence alignments.
- Employs a protein language model combined with a geometry-inspired transformer for enhanced prediction accuracy.
- Demonstrates comparable performance to AlphaFold2 on recently released structures.
- Effective for proteins with limited or no homologous sequences, including orphan proteins and fast-evolving antibodies.
Runtime Statistics
| Metric | Value |
|---|---|
| runtime_mean | 65 |
| runtime_median | 36 |
| runtime_std | 278 |
| runtime_90th_percentile | 65 |
| runtime_max | 4776 |
Similar Tools
- AFcluster
- AlphaFold2
- Boltz-1 (AlphaFold3)
- Boltz-2 (AlphaFold3)
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: 0.001178
Invite-only, limited-time access. Please contact ztang@getantibody.com.
Invite-only, limited-time access. Please contact ztang@getantibody.com.