Data for "Deep Generative Priors for Biomolecular 3D Heterogeneous Reconstruction from Cryo-EM Projections" Part I
Data for "Deep Generative Priors for Biomolecular 3D Heterogeneous Reconstruction from Cryo-EM Projections" Part I
Simulated datasets with uniformly distributed discrete states. Particle stacks, poses, CTFs and .star are available: (particle images downsampled to 256x256, original images 300x300x1.5A/pix available upon request) One_rect: 49,973 particle images Two_circles: 49,761 particle images Three_rect: 50,260 particle images Results of aforementioned simulated datasets with: Trained models (weights, latent encodings, config) Reconstructed density maps for 121 discrete states (ground-truth .mrc/.pdb, LSGM-SPR result only due to space limit) Analyze results (PCA-map, U-map, 10d z-alignment) Related resources: Original paper (Journal of Structural Biology): Deep Generative Priors for Biomolecular 3D Heterogeneous Reconstruction from Cryo-EM Projections Github link: https://github.com/benjamin3344/DGP-SPR Datasets part II: 10.5281/zenodo.10574539
- University of Toronto Canada
- Hitachi (Canada) Canada
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