CryoACE introduces an atom-centric AI framework for automated atomic model building from cryo-EM maps that handles both static and heterogeneous protein structures, outperforming baselines and revealing dynamic conformations on real datasets.
arXiv preprint arXiv:2506.04490 , year=
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CryoProt pretrains generalizable protein representations from cryo-EM density maps by modeling cross-box interactions with latent attention and multi-task learning, outperforming baselines on downstream tasks.
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CryoACE: An Atom-centric Framework for Accurate and Automated Model Building in Cryo-EM
CryoACE introduces an atom-centric AI framework for automated atomic model building from cryo-EM maps that handles both static and heterogeneous protein structures, outperforming baselines and revealing dynamic conformations on real datasets.