Published January 27, 2024
| Version v1
Dataset
Open
Data for "Deep Generative Priors for Biomolecular 3D Heterogeneous Reconstruction from Cryo-EM Projections" Part II
Creators
-
1.
University of Toronto
- 2. Hitachi High-Technologies Canada, Inc. based out of Victoria, BC
Description
One simulated dataset and three experimental datasets. Particle stacks, poses, CTFs and .star are available: (particle images downsampled to 256x256, original images 300x300x1.5A/pix available upon request)
- Three ovals: simulated datasets with non-uniformly distributed continuous states (a Gaussian mixture), 50,000 images
- CCMV: 65,025 images produced from EMPIAR-11487/11473/11461: cowpea chlorotic mottle virus (CCMV) capsid
- EMPIAR-10076: 50S ribosome assembly (datasets from cryoDRGN, 10.5281/zenodo.4355283)
- EMPIAR-10180: Pre-catalytic spliceosome (datasets from cryoDRGN, 10.5281/zenodo.4355283)
Results of aforementioned datasets with:
- Trained models(weights, latent encodings, config)
- Analysis and reconstructed density maps (PCA-map, U-map, 10d z-alignment, density maps).
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 I: 10.5281/zenodo.7557414