455 citations · 953 across the 6 of their papers we have counts for
6 papers
Gaussian Mixture Model-Based Focused Refinement for Enhanced Flexible Structure Determination in CryoEM and CryoET
Muyuan Chen
Dynamic conformational changes of proteins are crucial for their cellular functions. Here we present a unified refinement pipeline for flexible protein structures in both CryoEM an…
Improving Resolution and Resolvability of Single Particle CryoEM using Gaussian Mixture Models
Muyuan Chen, Michael F. Schmid, Wah Chiu
Cryogenic electron microscopy is widely used in structural biology, but its resolution is often limited by the dynamics of the macromolecule. Here, we developed a refinement protoc…
Integrating molecular models into CryoEM heterogeneity analysis using scalable high-resolution deep Gaussian mixture models
Muyuan Chen, Bogdan Toader, Roy Lederman
Resolving the structural variability of proteins is often key to understanding the structure-function relationship of those macromolecular machines. Single particle analysis using…
Deep learning based mixed-dimensional GMM for characterizing variability in CryoEM
Muyuan Chen, Steven Ludtke
Structural flexibility and/or dynamic interactions with other molecules is a critical aspect of protein function. CryoEM provides direct visualization of individual macromolecules…
A complete data processing workflow for CryoET and subtomogram averaging
Muyuan Chen, James M. Bell, Xiaodong Shi +3
Electron cryotomography (CryoET) is currently the only method capable of visualizing cells in 3D at nanometer resolutions. While modern instruments produce massive amounts of tomog…
Convolutional Neural Networks for Automated Annotation of Cellular Cryo-Electron Tomograms
Muyuan Chen, Wei Dai, Ying Sun +5
Cellular Electron Cryotomography (CryoET) offers the ability to look inside cells and observe macromolecules frozen in action. A primary challenge for this technique is identifying…