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3D Flexible Refinement (3DFlex) is a motion-based deep generative model for continuous heterogeneity. It can model non-rigid motion and flexibility of a protein molecule across its conformational landscape, and can use the motion model to combine signal from particle images in different conformations to improve refinement resolution in flexible regions.
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