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

<p>Trained models and reconstructed&nbsp;density maps for:</p> <ul> <li>EMPIAR-10028: &quot;Cryo-EM structure of a <em>Plasmodium falciparum</em> 80S ribosome bound to the anti-protozoan drug emetine&quot; from Wong et al. (2014)</li> <li>EMPIAR-10049: &quot;Molecular Mechanism of V(D)J Recombination from Synaptic RAG1-RAG2 Complex Structures&quot; from Ru et al. (2015)</li> <li>EMPIAR-10076: &quot;Modular assembly of the large bacterial ribosome&quot;&nbsp;from Davis et al. (2016)</li> <li>EMPIAR-10180: &quot;Structure of a pre-catalytic spliceosome&quot; from Plaschka et al. (2017)</li> </ul> <p>Synthetic datasets with simulated heterogeneity and their ground truth density maps, poses, and labels:</p> <ul> <li>Uniform: 50k particle images (128x128, 6A/pix) uniformly sampled from 50 models&nbsp;along a 1-dimensional reaction coordinate</li> <li>Cooperative: 50k particle images (128x128, 6A/pix) sampled along the above reaction coordinate&nbsp;according to a 3-component Gaussian mixture model with overlapping components&nbsp;</li> <li>Noncontiguous: 50k particle images (128x128, 6A/pix)&nbsp;sampled along the above reaction coordinate&nbsp;according to a 3-component Gaussian mixture model without overlapping components</li> <li>Ribosomes: 50k particle images (128x128, 3A/pix) containing a mixture&nbsp;of 30S, 50S, 70S ribosomes simulating compositional heterogeneity</li> </ul>