ZART: A Novel Multiresolution Reconstruction Algorithm with Motion-blur Correction for Single Particle Analysis

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Publikace nespadá pod Fakultu sportovních studií, ale pod Ústav výpočetní techniky. Oficiální stránka publikace je na webu muni.cz.
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HERREROS David KISKA Jakub RAMÍREZ-APORTELA Erney FILIPOVIČ Jiří CARAZO José María SORZANO Carlos Oscar

Rok publikování 2023
Druh Článek v odborném periodiku
Časopis / Zdroj Journal of Molecular Biology
Fakulta / Pracoviště MU

Ústav výpočetní techniky

Citace
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Doi http://dx.doi.org/10.1016/j.jmb.2023.168088
Klíčová slova Cryo-Electron Microscopy (CryoEM); spherical harmonics; Zernike polynomials; map reconstruction; Zernike3D-based Algebraic Reconstruction Technique (ZART)
Popis One of the main purposes of CryoEM Single Particle Analysis is to reconstruct the three-dimensional structure of a macromolecule thanks to the acquisition of many particle images representing different poses of the sample. By estimating the orientation of each projected particle, it is possible to recover the underlying 3D volume by multiple 3D reconstruction methods, usually working either in Fourier or in real space. However, the reconstruction from the projected images works under the assumption that all particles in the dataset correspond to the same conformation of the macromolecule. Although this requisite holds for some macromolecules, it is not true for flexible specimens, leading to motion-induced artefacts in the reconstructed CryoEM maps. In this work, we introduce a new Algebraic Reconstruction Technique called ZART, which is able to include continuous flexibility information during the reconstruction process to improve local resolution and reduce motion blurring. The conformational changes are modelled through Zernike3D polynomials. Our implementation allows for a multiresolution description of the macromolecule adapting itself to the local resolution of the reconstructed map. In addition, ZART has also proven to be a useful algorithm in cases where flexibility is not so dominant, as it improves the overall aspect of the reconstructed maps by improving their local and global resolution.
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