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Amyloid structure determination in RELION-3.1

Helical reconstruction in RELION is increasingly being used to determine the atomic structures of amyloid filaments from electron cryo-microscopy (cryo-EM) images. However, because the energy landscape of amyloid refinements is typically fraught with local optima, amyloid structure determination is...

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Autor principal: Scheres, Sjors H. W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7008511/
https://www.ncbi.nlm.nih.gov/pubmed/32038040
http://dx.doi.org/10.1107/S2059798319016577
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author Scheres, Sjors H. W.
author_facet Scheres, Sjors H. W.
author_sort Scheres, Sjors H. W.
collection PubMed
description Helical reconstruction in RELION is increasingly being used to determine the atomic structures of amyloid filaments from electron cryo-microscopy (cryo-EM) images. However, because the energy landscape of amyloid refinements is typically fraught with local optima, amyloid structure determination is often difficult. This paper aims to help RELION users in this process. It discusses aspects of helical reconstruction that are particularly relevant to amyloids, it illustrates the problem of local optima in refinement and how to detect them, and it introduces a new method to calculate 3D initial models from reference-free 2D class averages. By providing starting models that are closer to the global optimum, this method makes amyloid structure determination easier. All methods described are open-source and distributed within RELION-3.1. Their use is illustrated using a publicly available data set on tau filaments from the brain of an individual with Alzheimer’s disease.
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spelling pubmed-70085112020-02-18 Amyloid structure determination in RELION-3.1 Scheres, Sjors H. W. Acta Crystallogr D Struct Biol Ccp-EM Helical reconstruction in RELION is increasingly being used to determine the atomic structures of amyloid filaments from electron cryo-microscopy (cryo-EM) images. However, because the energy landscape of amyloid refinements is typically fraught with local optima, amyloid structure determination is often difficult. This paper aims to help RELION users in this process. It discusses aspects of helical reconstruction that are particularly relevant to amyloids, it illustrates the problem of local optima in refinement and how to detect them, and it introduces a new method to calculate 3D initial models from reference-free 2D class averages. By providing starting models that are closer to the global optimum, this method makes amyloid structure determination easier. All methods described are open-source and distributed within RELION-3.1. Their use is illustrated using a publicly available data set on tau filaments from the brain of an individual with Alzheimer’s disease. International Union of Crystallography 2020-01-30 /pmc/articles/PMC7008511/ /pubmed/32038040 http://dx.doi.org/10.1107/S2059798319016577 Text en © Scheres 2020 http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.http://creativecommons.org/licenses/by/4.0/
spellingShingle Ccp-EM
Scheres, Sjors H. W.
Amyloid structure determination in RELION-3.1
title Amyloid structure determination in RELION-3.1
title_full Amyloid structure determination in RELION-3.1
title_fullStr Amyloid structure determination in RELION-3.1
title_full_unstemmed Amyloid structure determination in RELION-3.1
title_short Amyloid structure determination in RELION-3.1
title_sort amyloid structure determination in relion-3.1
topic Ccp-EM
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7008511/
https://www.ncbi.nlm.nih.gov/pubmed/32038040
http://dx.doi.org/10.1107/S2059798319016577
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