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Estimating conformational landscapes from Cryo-EM particles by 3D Zernike polynomials

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F23%3A00130195" target="_blank" >RIV/00216224:14610/23:00130195 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.nature.com/articles/s41467-023-35791-y" target="_blank" >https://www.nature.com/articles/s41467-023-35791-y</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1038/s41467-023-35791-y" target="_blank" >10.1038/s41467-023-35791-y</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Estimating conformational landscapes from Cryo-EM particles by 3D Zernike polynomials

  • Original language description

    The new developments in Cryo-EM Single Particle Analysis are helping us to understand how the macromolecular structure and function meet to drive biological processes. By capturing many states at the particle level, it is possible to address how macromolecules explore different conformations, information that is classically extracted through 3D classification. However, the limitations of classical approaches prevent us from fully understanding the complete conformational landscape due to the reduced number of discrete states accurately reconstructed. To characterize the whole structural spectrum of a macromolecule, we propose an extension of our Zernike3D approach, able to extract per-image continuous flexibility information directly from a particle dataset. Also, our method can be seamlessly applied to images, maps or atomic models, opening integrative possibilities. Furthermore, we introduce the ZART reconstruction algorithm, which considers the Zernike3D deformation fields to revert particle conformational changes during the reconstruction process, thus minimizing the blurring induced by molecular motions.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/LM2018140" target="_blank" >LM2018140: e-Infrastructure CZ</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Nature Communications

  • ISSN

    2041-1723

  • e-ISSN

    2041-1723

  • Volume of the periodical

    14

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    10

  • Pages from-to

    1-10

  • UT code for WoS article

    000991281000008

  • EID of the result in the Scopus database

    2-s2.0-85146117842