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Characterisation of molecular motions in cryo-EM single-particle data by multi-body refinement in RELION.

Takanori Nakane | Dari Kimanius | Erik Lindahl | Sjors Hw Scheres
eLife | 2018

Macromolecular complexes that exhibit continuous forms of structural flexibility pose a challenge for many existing tools in cryo-EM single-particle analysis. We describe a new tool, called multi-body refinement, which models flexible complexes as a user-defined number of rigid bodies that move independently from each other. Using separate focused refinements with iteratively improved partial signal subtraction, the new tool generates improved reconstructions for each of the defined bodies in a fully automated manner. Moreover, using principal component analysis on the relative orientations of the bodies over all particle images in the data set, we generate movies that describe the most important motions in the data. Our results on two test cases, a cytoplasmic ribosome from Plasmodium falciparum, and the spliceosomal B-complex from yeast, illustrate how multi-body refinement can be useful to gain unique insights into the structure and dynamics of large and flexible macromolecular complexes.

Pubmed ID: 29856314

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Associated grants

  • Agency: Medical Research Council, United Kingdom
    Id: MC_UP_A025_1013
  • Agency: Medical Research Council, United Kingdom
    Id: MC UP A025 1013

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This is a list of tools and resources that we have found mentioned in this publication.


Chimera (software resource)

RRID:SCR_002959

A Bioconductor package that organizes, annotates, analyses and validates fusions reported by different fusion detection tools. The current implementation can deal with output from bellerophontes, chimeraScan, deFuse, fusionCatcher, FusionFinder, FusionHunter, FusionMap, mapSplice, Rsubread, tophat-fusion, tophat-fusion-post and STAR. The core of Chimera is a fusion data structure that can store fusion events detected with any of the aforementioned tools.

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RELION (software resource)

RRID:SCR_016274

Software for determination of cryo-EM structures. It employs an empirical Bayesian approach to refinement of (multiple) 3D reconstructions or 2D class averages in electron cryo-microscopy.

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