Common lines modeling for reference free Ab-initio reconstruction in cryo-EM.

Abstract:

:We consider the problem of estimating an unbiased and reference-free ab initio model for non-symmetric molecules from images generated by single-particle cryo-electron microscopy. The proposed algorithm finds the globally optimal assignment of orientations that simultaneously respects all common lines between all images. The contribution of each common line to the estimated orientations is weighted according to a statistical model for common lines' detection errors. The key property of the proposed algorithm is that it finds the global optimum for the orientations given the common lines. In particular, any local optima in the common lines energy landscape do not affect the proposed algorithm. As a result, it is applicable to thousands of images at once, very robust to noise, completely reference free, and not biased towards any initial model. A byproduct of the algorithm is a set of measures that allow to asses the reliability of the obtained ab initio model. We demonstrate the algorithm using class averages from two experimental data sets, resulting in ab initio models with resolutions of 20Å or better, even from class averages consisting of as few as three raw images per class.

journal_name

J Struct Biol

authors

Greenberg I,Shkolnisky Y

doi

10.1016/j.jsb.2017.09.007

subject

Has Abstract

pub_date

2017-11-01 00:00:00

pages

106-117

issue

2

eissn

1047-8477

issn

1095-8657

pii

S1047-8477(17)30158-2

journal_volume

200

pub_type

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