MDSPACE: Extracting Continuous Conformational Landscapes from Cryo-EM Single Particle Datasets Using 3D-to-2D Flexible Fitting based on Molecular Dynamics Simulation
[Display omitted] •MDSPACE extracts continuous conformational landscapes from single particle datasets.•It uses MD-simulation-based 3D-to-2D flexible fitting of an atomic structure to images.•It refines conformational landscapes using principal motion directions learned iteratively.•Its performance...
Saved in:
| Published in: | Journal of molecular biology Vol. 435; no. 9; p. 167951 |
|---|---|
| Main Authors: | , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Netherlands
Elsevier Ltd
01.05.2023
Elsevier |
| Subjects: | |
| ISSN: | 0022-2836, 1089-8638, 1089-8638 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | [Display omitted]
•MDSPACE extracts continuous conformational landscapes from single particle datasets.•It uses MD-simulation-based 3D-to-2D flexible fitting of an atomic structure to images.•It refines conformational landscapes using principal motion directions learned iteratively.•Its performance is shown with synthetic and experimental data.
This article presents an original approach for extracting atomic-resolution landscapes of continuous conformational variability of biomolecular complexes from cryo electron microscopy (cryo-EM) single particle images. This approach is based on a new 3D-to-2D flexible fitting method, which uses molecular dynamics (MD) simulation and is embedded in an iterative conformational-landscape refinement scheme. This new approach is referred to as MDSPACE, which stands for Molecular Dynamics simulation for Single Particle Analysis of Continuous Conformational hEterogeneity. The article describes the MDSPACE approach and shows its performance using synthetic and experimental datasets. |
|---|---|
| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ISSN: | 0022-2836 1089-8638 1089-8638 |
| DOI: | 10.1016/j.jmb.2023.167951 |