CryoDRGN-ET: deep reconstructing generative networks for visualizing dynamic biomolecules inside cells

cryoDRGN-ET is a generative neural network method for heterogeneous reconstruction of cryo-ET subtomograms. Using subtomogram tilt-series images, it can capture states diverse in both composition and conformation.