OmegaFold
BHeliXon
Structure Predictionnon-commercial
Updated 2 months agoNextIn take
OmegaFold's single-sequence approach is elegant and fast, but in practice, the accuracy gap versus MSA-based methods means you'd only reach for it when you literally can't build an alignment.
Specifications
| Architecture | Single-sequence structure prediction — no MSA required |
| Parameters | ~100M |
| Training Data | PDB structures, UniRef sequences |
| License | Non-commercial academic license. Commercial use requires HeliXon agreement. |
| Hardware | 1x GPU with 16GB+ VRAM |
| Inference Cost | Self-hosted — fast inference, low compute cost |
| API Available | No |
| Weights Available | Yes |
Benchmark Performance
| Benchmark | Score |
|---|---|
| CAMEO | 0.72 lDDT (avg) |
When to Use This
- +Orphan proteins with no detectable homologs
- +Quick structural screening where MSA construction is too slow
When NOT to Use This
- −Any target where MSA construction is feasible — Boltz-1 or AF3 will be more accurate
- −Complex prediction — single-sequence models don't handle multimers
Production Readiness
research
Known Users
- Academic labs working on novel proteins
Grade Rationale
B
A useful single-sequence predictor that trades accuracy for speed and simplicity. Solid B — it fills a niche for orphan proteins without homologs, but MSA-based methods are strictly better when alignments are available.
Sources
Update History
2026-01-15Initial entry