Methods for Cryo-EM Single Particle Reconstruction of Macromolecules Having Continuous Heterogeneity.

conformation manifold continuous heterogeneity cryo-EM single particle reconstruction

Journal

Journal of molecular biology
ISSN: 1089-8638
Titre abrégé: J Mol Biol
Pays: Netherlands
ID NLM: 2985088R

Informations de publication

Date de publication:
01 05 2023
Historique:
received: 16 11 2022
revised: 15 02 2023
accepted: 16 02 2023
pmc-release: 01 05 2024
medline: 8 5 2023
pubmed: 3 3 2023
entrez: 2 3 2023
Statut: ppublish

Résumé

Macromolecules change their shape (conformation) in the process of carrying out their functions. The imaging by cryo-electron microscopy of rapidly-frozen, individual copies of macromolecules (single particles) is a powerful and general approach to understanding the motions and energy landscapes of macromolecules. Widely-used computational methods already allow the recovery of a few distinct conformations from heterogeneous single-particle samples, but the treatment of complex forms of heterogeneity such as the continuum of possible transitory states and flexible regions remains largely an open problem. In recent years there has been a surge of new approaches for treating the more general problem of continuous heterogeneity. This paper surveys the current state of the art in this area.

Identifiants

pubmed: 36863660
pii: S0022-2836(23)00076-1
doi: 10.1016/j.jmb.2023.168020
pmc: PMC10164696
mid: NIHMS1879737
pii:
doi:

Types de publication

Journal Article Review Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

168020

Subventions

Organisme : NIGMS NIH HHS
ID : R01 GM136780
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS021501
Pays : United States

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Bogdan Toader (B)

Department of Statistics and Data Science, Yale University, United States. Electronic address: bogdan.toader@yale.edu.

Fred J Sigworth (FJ)

Department of Cellular and Molecular Physiology, Yale University, United States.

Roy R Lederman (RR)

Department of Statistics and Data Science, Yale University, United States. Electronic address: https://twitter.com/roylederman.

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Classifications MeSH