Han Zhu

DAQplugin provides real-time deep learning-based validation of cryo-EM protein models in ChimeraX, identifying residue errors and offering correction guidance.

DMcloud improves fitting of molecular models into cryo-EM maps by local structure fitting, achieving higher accuracy and coverage than existing methods.

CryoZeta improves cryo-EM structure modeling by integrating density features with sequence data using a diffusion-based deep learning model, achieving higher accuracy than existing methods.

DiffModeler uses diffusion models to accurately model protein complex structures from low-resolution cryo-EM maps, achieving high TM-Scores across various resolutions.

The paper introduces a method combining deep learning for density tracing with AlphaFold2 to improve protein structure modeling from cryo-EM maps and accurately assign chain identities in homo-multimers.