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Directly reconstructing protein backbones from cryo-EM data without intermediate electrostatic maps reveals new potential for capturing complex conformational changes.
GNNs can significantly improve heterogeneous cryo-EM reconstruction by leveraging protein structure priors, outperforming MLPs in predicting atomic backbone conformations.