A model-based parallel origin and for cryoTEM and its application orientation refinement algorithm to the study of virus structures

Authors

    Authors

    Y. C. Ji; D. C. Marinescu; W. Zhang; X. Zhang; X. D. Yan;T. S. Baker

    Comments

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    Abbreviated Journal Title

    J. Struct. Biol.

    Keywords

    virus structure determination; 3D reconstruction; orientation and origin; refinement; electron cryo-microscopy; cryoTEM; parallel algorithm; cluster of PCs; 3-DIMENSIONAL RECONSTRUCTION; CRYOELECTRON MICROSCOPY; ELECTRON; CRYOMICROSCOPY; DENGUE VIRUS; CAPSID PROTEIN; BIOLOGICAL MACROMOLECULES; VISUALIZATION; GLYCOPROTEIN; MICROGRAPHS; RESOLUTION; Biochemistry & Molecular Biology; Biophysics; Cell Biology

    Abstract

    We present a model-based parallel algorithm for origin and orientation refinement for 3D reconstruction in cryoTEM. The algorithm is based upon the Projection Theorem of the Fourier Transform. Rather than projecting the current 3D model and searching for the best match between an experimental view and the calculated projections, the algorithm computes the Discrete Fourier Transform (DFT) of each projection and searches for the central section ("cut") of the 3D DFT that best matches the DFT of the projection. Factors that affect the efficiency of a parallel program are first reviewed and then the performance and limitations of the proposed algorithm are discussed. The parallel program that implements this algorithm, called pO(2)R, has been used for the refinement of several virus structures, includine those of the 500 A diameter dengue virus (to 9.5 angstrom resolution), the 850 A mammalian reovirus (to better than 7 angstrom), and the 1800 angstrom paramecium bursaria chlorella virus (to 15 angstrom). (c) 2005 Elsevier Inc. All rights reserved.

    Journal Title

    Journal of Structural Biology

    Volume

    154

    Issue/Number

    1

    Publication Date

    1-1-2006

    Document Type

    Article

    Language

    English

    First Page

    1

    Last Page

    19

    WOS Identifier

    WOS:000236561000001

    ISSN

    1047-8477

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