2023
ZART: A Novel Multiresolution Reconstruction Algorithm with Motion-blur Correction for Single Particle Analysis
HERREROS, David, Jakub KISKA, Erney RAMÍREZ-APORTELA, Jiří FILIPOVIČ, José María CARAZO et. al.Základní údaje
Originální název
ZART: A Novel Multiresolution Reconstruction Algorithm with Motion-blur Correction for Single Particle Analysis
Autoři
HERREROS, David (724 Španělsko), Jakub KISKA (703 Slovensko, domácí), Erney RAMÍREZ-APORTELA (724 Španělsko), Jiří FILIPOVIČ (203 Česká republika, garant, domácí), José María CARAZO (724 Španělsko) a Carlos Oscar SORZANO (724 Španělsko)
Vydání
Journal of Molecular Biology, Elsevier, 2023, 0022-2836
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
10608 Biochemistry and molecular biology
Stát vydavatele
Nizozemské království
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 5.600 v roce 2022
Kód RIV
RIV/00216224:14610/23:00130611
Organizační jednotka
Ústav výpočetní techniky
UT WoS
000999014800001
Klíčová slova anglicky
Cryo-Electron Microscopy (CryoEM); spherical harmonics; Zernike polynomials; map reconstruction; Zernike3D-based Algebraic Reconstruction Technique (ZART)
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 20. 3. 2024 15:09, Mgr. Alena Mokrá
Anotace
V originále
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.
Návaznosti
LM2018140, projekt VaV |
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