Deep reconstructing generative networks for visualizing dynamic biomolecules inside cells
R. Rangan, S. Khavnekar, A. Lerer, J. Johnston, R. Kelley, M. Obr, A. Kotecha, E. D. Zhong
The paper introduces cryoDRGN-ET, a deep generative model for reconstructing dynamic biomolecular structures from cryo-ET subtomograms, revealing ribosome states in yeast cells.
bioRxiv · Aug 18, 2023 · PreprintBiophysics