ArticleNature methods2021
CryoDRGN: reconstruction of heterogeneous cryo-EM structures using neural networks.
Article in Nature methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 365 papers.
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Who cites it
365 citing papers in PubMed, 659 citations in OpenAlex.
- The CAHRA Challenge: A Community-Wide Assessment of Cryo-EM Heterogeneous Reconstruction Algorithms.bioRxiv : the preprint server for biology · 2026Article
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- CryoTriplane: triplane-based neural radiance field representation for high-resolution cryo-EM 3D homogeneous reconstruction.Bioinformatics (Oxford, England) · 2026Article
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- Structural and mechanistic insights into gating and allosteric modulation of GluN1-GluN3A NMDA receptors.Nature structural & molecular biology · 2026Article
- Convergence of cryo-electron microscopy and artificial intelligence in integrative structural biology: A critical review of advances, synergies, and implications for molecular biophysics and drug discovery.Journal of microscopy · 2026Review
- Article
- From Static Structures to Molecular Dynamics: Emerging Directions in X-Ray and Electron Materials Characterization.Materials (Basel, Switzerland) · 2026Review
- Comparing multislice projections of MD simulations with cryo-EM exposes structural prediction errors.Biophysical journal · 2026Article
- New paradigm of q-CAR drug development targeting disease-specific protein conformations.npj drug discovery · 2026Review
- Structures of dynamic interactors at native proteasomes by PhIX-MS and cryo-electron microscopy.Molecular cell · 2026Article
- De novo design of miniproteins targeting GPCRs.Nature · 2026Article
- Two datasets are better than one: method of double moments for 3D reconstruction in cryo-EM.Inverse problems · 2026Article
- Particles of echovirus 18 open to release their genomes in vivo.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- TRiC-assisted folding of class I HDAC family proteins regulated by distinct co-chaperone and cofactor networks.Science advances · 2026Article
- Artificial Intelligence for Discovery in Life Sciences.Bioconjugate chemistry · 2026Review
- CryoROLE: describing large inter-domain rotation in single particle cryo-EM.bioRxiv : the preprint server for biology · 2026Article
- Structures of asymmetric particles of tick-borne encephalitis virus provide insight into flavivirus assembly and maturation.Science advances · 2026Article
- Cryo-EM: the revolution continues.IUCrJ · 2026Review
305 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Cryo-electron microscopy (cryo-EM) single-particle analysis has proven powerful in determining the structures of rigid macromolecules. However, many imaged protein complexes exhibit conformational and compositional heterogeneity that poses a major challenge to existing three-dimensional reconstruction methods. Here, we present cryoDRGN, an algorithm that leverages the representation power of deep neural networks to directly reconstruct continuous distributions of 3D density maps and map per-particle heterogeneity of single-particle cryo-EM datasets. Using cryoDRGN, we uncovered residual heterogeneity in high-resolution datasets of the 80S ribosome and the RAG complex, revealed a new structural state of the assembling 50S ribosome, and visualized large-scale continuous motions of a spliceosome complex. CryoDRGN contains interactive tools to visualize a dataset's distribution of per-particle variability, generate density maps for exploratory analysis, extract particle subsets for use with other tools and generate trajectories to visualize molecular motions. CryoDRGN is open-source software freely available at http://cryodrgn.csail.mit.edu .
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.