Use CryoSAMU

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.