Author

Shengqiang Huang

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Open access Sep 2026

EM3DFold: accurate de novo protein and nucleic acid model building for cryo-EM maps using language model-powered deep learning

Cryo-electron microscopy (cryo-EM) has become one of the most powerful techniques for macromolecular structure determination. However, accurate model building from cryo-EM maps remains challenging, particularly for nucleic acids. Here, we present EM3DFold, a unified de novo model-building framework for accurate structu...

Tao Li, Hong Cao, Shengqiang Huang · bioRxiv · 0 citations

Open access Aug 2026

HDOCK-Multimer: integrating docking and combinatorial assembly for structure prediction of large protein complexes

HDM can efficiently reduce reliance on subcom-ponent accuracy through docking process, while leveraging the pairwise interactions of subcom-ponents through assembly strategy, and is anticipated that HDM will serve as a powerful tool for studying large protein complexes or molecular machines.

Xuan Yao, Yifan Ya, Hao Li et al. · bioRxiv · 0 citations