Improving resolution and resolvability of single-particle cryoEM structures using Gaussian mixture models

Chen, Muyuan; Schmid, Michael F.; Chiu, Wah

doi:10.1038/s41592-023-02082-9

Improving resolution and resolvability of single-particle cryoEM structures using Gaussian mixture models

Journal Article · Thu Nov 16 00:00:00 EST 2023 · Nature Methods

DOI:https://doi.org/10.1038/s41592-023-02082-9· OSTI ID:2405205

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SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States). Stanford Synchrotron Radiation Lightsource (SSRL); SLAC
SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States). Stanford Synchrotron Radiation Lightsource (SSRL)
SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States). Stanford Synchrotron Radiation Lightsource (SSRL); Stanford Univ., CA (United States)

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 protocol based on Gaussian mixture models that integrates particle orientation and conformation estimation, and improves the alignment for flexible domains of protein structures. We demonstrated this protocol on multiple datasets, resulting in improved resolution and resolvability, locally and globally, by visual and quantitative measures.

View Accepted Manuscript (DOE)

Research Organization:: SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)

Sponsoring Organization:: National Institutes of Health (NIH); USDOE Office of Science (SC)

Grant/Contract Number:: AC02-76SF00515

OSTI ID:: 2405205

Journal Information:: Nature Methods, Journal Name: Nature Methods Journal Issue: 1 Vol. 21; ISSN 1548-7091

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United States

Language:: English

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