Journal Article PUBDB-2024-05631

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Cryo-EM structure and B-factor refinement with ensemble representation

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2024
Nature Publishing Group UK [London]

Nature Communications 15(1), 444 () [10.1038/s41467-023-44593-1]
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Abstract: Cryo-EM experiments produce images of macromolecular assemblies that are combined to produce three-dimensional density maps. Typically, atomic models of the constituent molecules are fitted into these maps, followed by a density-guided refinement. We introduce TEMPy-ReFF, a method for atomic structure refinement in cryo-EM density maps. Our method represents atomic positions as components of a Gaussian mixture model, utilising their variances as B-factors, which are used to derive an ensemble description. Extensively tested on a substantial dataset of 229 cryo-EM maps from EMDB ranging in resolution from 2.1-4.9 Å with corresponding PDB and CERES atomic models, our results demonstrate that TEMPy-ReFF ensembles provide a superior representation of cryo-EM maps. On a single-model basis, it performs similarly to the CERES re-refinement protocol, although there are cases where it provides a better fit to the map. Furthermore, our method enables the creation of composite maps free of boundary artefacts. TEMPy-ReFF is useful for better interpretation of flexible structures, such as those involving RNA, DNA or ligands.

Classification:

Contributing Institute(s):
  1. CSSB - Leibniz-Institut für Experimentelle Virologie (LIV) / UKE - Maya Topf (CSSB-LIV/UKE-MT)
Research Program(s):
  1. 899 - ohne Topic (POF4-899) (POF4-899)
Experiment(s):
  1. No specific instrument

Appears in the scientific report 2024
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 Record created 2024-08-28, last modified 2025-07-23


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