ArticleJournal of molecular biology2023
Integrating Molecular Models Into CryoEM Heterogeneity Analysis Using Scalable High-resolution Deep Gaussian Mixture Models.
Article in Journal of molecular biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 26 citations in OpenAlex.
- Article
- CryoJAX: a cryo-electron microscopy image-simulation library in JAX.Acta crystallographica. Section D, Structural biology · 2026Article
- Article
- Subspace Method of Moments forSIAM journal on imaging sciences · 2026Article
- cryoJAX: A Cryo-electron Microscopy Image Simulation Library In JAX.bioRxiv : the preprint server for biology · 2025Article
- Merging conformational landscapes in a single consensus space with FlexConsensus algorithm.Nature methods · 2025Article
- Structural dynamics of mitochondrial ATP synthase inbioRxiv : the preprint server for biology · 2025Article
- Efficient high-resolution refinement in cryo-EM with stochastic gradient descent.Acta crystallographica. Section D, Structural biology · 2025Article
- Article
- Building molecular model series from heterogeneous CryoEM structures using Gaussian mixture models and deep neural networks.Communications biology · 2025Article
- InstaMap: instant-NGP for cryo-EM density maps.Acta crystallographica. Section D, Structural biology · 2025Article
- CryoSTAR: leveraging structural priors and constraints for cryo-EM heterogeneous reconstruction.Nature methods · 2024Article
- DynaMight: estimating molecular motions with improved reconstruction from cryo-EM images.Nature methods · 2024Article
- Identifying protein conformational states in the Protein Data Bank: Toward unlocking the potential of integrative dynamics studies.Structural dynamics (Melville, N.Y.) · 2024Article
- Improving resolution and resolvability of single-particle cryoEM structures using Gaussian mixture models.Nature methods · 2024Article
- Methods for Cryo-EM Single Particle Reconstruction of Macromolecules Having Continuous Heterogeneity.Journal of molecular biology · 2023Review
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Resolving the structural variability of proteins is often key to understanding the structure-function relationship of those macromolecular machines. Single particle analysis using Cryogenic electron microscopy (CryoEM), combined with machine learning algorithms, provides a way to reveal the dynamics within the protein system from noisy micrographs. Here, we introduce an improved computational method that uses Gaussian mixture models for protein structure representation and deep neural networks for conformation space embedding. By integrating information from molecular models into the heterogeneity analysis, we can analyze continuous protein conformational changes using structural information at the frequency of 1/3 Å
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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.