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.
Overview
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.
Run CryoSAMU on Neurosnap
The CryoSAMU online webserver allows anybody with a Neurosnap account to run and access CryoSAMU, no downloads required. Information submitted through this webserver is kept confidential and never sold to third parties as detailed by our strong Terms of Use and Privacy Policy.
Features
- 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.
Statistics
Neurosnap periodically calculates runtime statistics based on job execution data. These estimates provide a general guideline for how long your job may take, but actual runtimes can vary significantly depending on factors like input size or settings used.
| Statistic | Value |
|---|---|
| Credit Usage Rate | loading... |
| Estimated Total Cost | loading... |
| Runtime Mean | loading... |
| Runtime Median | loading... |
| Runtime Standard Deviation | loading... |
| Runtime 90th Percentile | loading... |
| Runtime Longest | loading... |
API Request
Access CryoSAMU using the Neurosnap API by sending a request using any programming language with HTTP support. To safely generate an API key, visit the API tab of your overview page.
Similar Tools
Explore tools with similar features, categories, and use cases.
Citations
Please cite the original work when using CryoSAMU in publications or research outputs.
|
Zhang C, Duc KD. CryoSAMU: Enhancing 3D Cryo-EM Density Maps of Protein Structures at Intermediate Resolution with Structure-Aware Multimodal U-Nets. arXiv preprint arXiv:2503.20291. 2025 Mar 26. |
|
Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/ |