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Data for "CryoDRGN: Reconstruction of heterogeneous cryo-EM structures using neural networks"

dataset
posted on 13.01.2021, 07:57 by Ellen D. Zhong

Trained models and reconstructed density maps for:

  • EMPIAR-10028: "Cryo-EM structure of a Plasmodium falciparum 80S ribosome bound to the anti-protozoan drug emetine" from Wong et al. (2014)
  • EMPIAR-10049: "Molecular Mechanism of V(D)J Recombination from Synaptic RAG1-RAG2 Complex Structures" from Ru et al. (2015)
  • EMPIAR-10076: "Modular assembly of the large bacterial ribosome" from Davis et al. (2016)
  • EMPIAR-10180: "Structure of a pre-catalytic spliceosome" from Plaschka et al. (2017)

Synthetic datasets with simulated heterogeneity and their ground truth density maps, poses, and labels:

  • Uniform: 50k particle images (128x128, 6A/pix) uniformly sampled from 50 models along a 1-dimensional reaction coordinate
  • Cooperative: 50k particle images (128x128, 6A/pix) sampled along the above reaction coordinate according to a 3-component Gaussian mixture model with overlapping components 
  • Noncontiguous: 50k particle images (128x128, 6A/pix) sampled along the above reaction coordinate according to a 3-component Gaussian mixture model without overlapping components
  • Ribosomes: 50k particle images (128x128, 3A/pix) containing a mixture of 30S, 50S, 70S ribosomes simulating compositional heterogeneity

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