A Bayesian approach to extracting free-energy profiles from cryo-electron microscopy experiments.

ABSTRACT: Cryo-electron microscopy (cryo-EM) extracts single-particle density projections of individual biomolecules. Although cryo-EM is widely used for 3D reconstruction, due to its single-particle nature it has the potential to provide information about a biomolecule's conformational variability and underlying free-energy landscape. However, treating cryo-EM as a single-molecule technique is challenging because of the low signal-to-noise ratio (SNR) in individual particles. In this work, we propose the cryo-BIFE method (cryo-EM Bayesian Inference of Free-Energy profiles), which uses a path collective variable to extract free-energy profiles and their uncertainties from cryo-EM images. We test the framework on several synthetic systems where the imaging parameters and conditions were controlled. W

SUBMITTER: Giraldo-Barreto J 

PROVIDER: S-EPMC8249403 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature