Liguo Wang

A Labeled Dataset for AI-based Cryo-EM Map Enhancement

The paper introduces a labeled dataset for AI-based cryo-EM map denoising, including experimental maps and three types of generated label maps for benchmarking.

Accurate cryo-EM protein particle picking by integrating the foundational AI image segmentation model and specialized U-Net

The paper introduces CryoSegNet, a method combining a specialized U-Net and SAM for cryo-EM particle picking, achieving higher accuracy than existing methods.

Cryo2StructData: A Large Labeled Cryo-EM Density Map Dataset for AI-based Modeling of Protein Structures

The paper introduces Cryo2StructData, a large labeled cryo-EM density map dataset for training AI models to build atomic protein structures, showing it is larger and higher quality than existing datasets.

CryoTransformer: A Transformer Model for Picking Protein Particles from Cryo-EM Micrographs

CryoTransformer improves protein particle picking in cryo-EM micrographs using a transformer model, achieving better resolution and F1-score than existing methods.

CryoPPP: A Large Expert-Labelled Cryo-EM Image Dataset for Machine Learning Protein Particle Picking

Cascaded-CNN: Deep Learning to Predict Protein Backbone Structure from High-Resolution Cryo-EM Density Maps

Cascaded CNNs segmenting secondary structure, backbone and Cα voxels, plus tabu-search tracing, place 88.5% of Cα atoms within 3Å across 50 cryo-EM maps versus Phenix's 66.8%.