CryoSAMU
CryoSAMU enhances intermediate-resolution cryo-EM maps using a structure-aware multimodal U-Net, integrating map features with protein language model embeddings for faster, high-quality results.
Enhancing cryogenic electron microscopy (cryo-EM) 3D density maps at intermediate resolution (4-8 Å) is crucial in protein structure determination. CryoSAMU is a novel method designed to enhance these maps using structure-aware multimodal U-Nets. It integrates 3D map features with structural embeddings from the ESM-IF1 protein language model. By training on a curated dataset of intermediate-resolution maps, CryoSAMU improves map quality, shows competitive performance against state-of-the-art methods, and achieves significantly faster processing speeds.
Estimated resource cost: 0.000527
Categories: Structure Prediction & Folding
Tags: Cryo-EM Nucleotides Proteins
Key Capabilities
- First multimodal network integrating structural information into a 3D U-Net for cryo-EM map enhancement.
- Uses cross-attention mechanisms to fuse 3D map features with structural embeddings from ESM-IF1.
- Employs a self-attention-based post-processing for structural embeddings to preserve chain and residue relationships.
- Optimized for intermediate-resolution (4-8 Å) cryo-EM maps.
- Demonstrates competitive performance with significantly faster processing speeds (4.2x to 16.7x faster than other methods).
- Improves protein structure modeling from density maps, increasing residue coverage and sequence match.
Runtime Statistics
| Metric | Value |
|---|---|
| runtime_mean | 69 |
| runtime_median | 34 |
| runtime_std | 87 |
| runtime_90th_percentile | 194 |
| runtime_max | 412 |
Similar Tools
- DeepEMhancer
- Boltz-1 (AlphaFold3)
- Boltz-2 (AlphaFold3)
- Chai-1 (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: 0.000527
Invite-only, limited-time access. Please contact ztang@getantibody.com.
Invite-only, limited-time access. Please contact ztang@getantibody.com.