A Bayesian approach to single-particle electron cryo-tomography in RELION-4.0.
A Bayesian approach to single-particle electron cryo-tomography in RELION-4.0.
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DOI:
10.7554/elife.83724
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发表时间:
2022-12-05
期刊:
影响因子:
7.7
通讯作者:
Scheres SHW
中科院分区:
文献类型:
--
作者:
Zivanov J;Otón J;Ke Z;von Kügelgen A;Pyle E;Qu K;Morado D;Castaño-Díez D;Zanetti G;Bharat TAM;Briggs JAG;Scheres SHW
We present a new approach for macromolecular structure determination from multiple particles in electron cryo-tomography (cryo-ET) data sets. Whereas existing subtomogram averaging approaches are based on 3D data models, we propose to optimise a regularised likelihood target that approximates a function of the 2D experimental images. In addition, analogous to Bayesian polishing and contrast transfer function (CTF) refinement in single-particle analysis, we describe the approaches that exploit the increased signal-to-noise ratio in the averaged structure to optimise tilt-series alignments, beam-induced motions of the particles throughout the tilt-series acquisition, defoci of the individual particles, as well as higher-order optical aberrations of the microscope. Implementation of our approaches in the open-source software package RELION aims to facilitate their general use, particularly for those researchers who are already familiar with its single-particle analysis tools. We illustrate for three applications that our approaches allow structure determination from cryo-ET data to resolutions sufficient for de novo atomic modelling.
影响因子:
3
作者:
Frank GA;Bartesaghi A;Kuybeda O;Borgnia MJ;White TA;Sapiro G;Subramaniam S
通讯作者:
Subramaniam S