Averaging Tens to Hundreds of Icosahedral Particle Images to Resolve Protein Secondary Structure Elements Using a Multi-Path Simulated Annealing Optimization Algorithm

Overview

Journal J Struct Biol

Specialties Cell Biology
Molecular Biology

Date 2007 Aug 19

PMID 17698370

Citations 53

Authors

Xiangan Liu

Wen Jiang

Joanita Jakana

Wah Chiu

Affiliations

Soon will be listed here.

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.

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