当前位置： SCI文献检索 > JOURNAL OF STRUCTURAL BIOLOGY期刊下所有文献 > Averaging tens to hundreds of icosahedral particle images to resolve protein secondary structure elements using a Multi-Path Simulated Annealing optimization algorithm.

Averaging tens to hundreds of icosahedral particle images to resolve protein secondary structure elements using a Multi-Path Simulated Annealing optimization algorithm.

Abstract：

:Accurately determining a cryoEM particle's alignment parameters is crucial to high resolution single particle 3-D reconstruction. We developed Multi-Path Simulated Annealing, a Monte-Carlo type of optimization algorithm, for globally aligning the center and orientation of a particle simultaneously. A consistency criterion was developed to ensure the alignment parameters are correct and to remove some bad particles from a large pool of images of icosahedral particles. Without using any a priori model, this procedure is able to reconstruct a structure from a random initial model. Combining the procedure above with a new empirical double threshold particle selection method, we are able to pick tens of best quality particles to reconstruct a subnanometer resolution map from scratch. Using the best 62 particles of rice dwarf virus, the reconstruction reached 9.6A resolution at which four helices of the P3A subunit of RDV are resolved. Furthermore, with the 284 best particles, the reconstruction is improved to 7.9A resolution, and 21 of 22 helices and six of seven beta sheets are resolved.

journal_name

J Struct Biol

journal_title

Journal of structural biology

authors

Liu X,Jiang W,Jakana J,Chiu W

doi

10.1016/j.jsb.2007.06.009

subject

Has Abstract

pub_date

2007-10-01 00:00:00

pages

11-27

issue

1

eissn

1047-8477

issn

1095-8657

pii

S1047-8477(07)00142-6

journal_volume

160

pub_type

杂志文章

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