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Model-based local density sharpening of cryo-EM maps

Atomic models based on high-resolution density maps are the ultimate result of the cryo-EM structure determination process. Here, we introduce a general procedure for local sharpening of cryo-EM density maps based on prior knowledge of an atomic reference structure. The procedure optimizes contrast...

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Detalles Bibliográficos
Autores principales: Jakobi, Arjen J, Wilmanns, Matthias, Sachse, Carsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5679758/
https://www.ncbi.nlm.nih.gov/pubmed/29058676
http://dx.doi.org/10.7554/eLife.27131
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author Jakobi, Arjen J
Wilmanns, Matthias
Sachse, Carsten
author_facet Jakobi, Arjen J
Wilmanns, Matthias
Sachse, Carsten
author_sort Jakobi, Arjen J
collection PubMed
description Atomic models based on high-resolution density maps are the ultimate result of the cryo-EM structure determination process. Here, we introduce a general procedure for local sharpening of cryo-EM density maps based on prior knowledge of an atomic reference structure. The procedure optimizes contrast of cryo-EM densities by amplitude scaling against the radially averaged local falloff estimated from a windowed reference model. By testing the procedure using six cryo-EM structures of TRPV1, β-galactosidase, γ-secretase, ribosome-EF-Tu complex, 20S proteasome and RNA polymerase III, we illustrate how local sharpening can increase interpretability of density maps in particular in cases of resolution variation and facilitates model building and atomic model refinement.
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spelling pubmed-56797582017-11-13 Model-based local density sharpening of cryo-EM maps Jakobi, Arjen J Wilmanns, Matthias Sachse, Carsten eLife Structural Biology and Molecular Biophysics Atomic models based on high-resolution density maps are the ultimate result of the cryo-EM structure determination process. Here, we introduce a general procedure for local sharpening of cryo-EM density maps based on prior knowledge of an atomic reference structure. The procedure optimizes contrast of cryo-EM densities by amplitude scaling against the radially averaged local falloff estimated from a windowed reference model. By testing the procedure using six cryo-EM structures of TRPV1, β-galactosidase, γ-secretase, ribosome-EF-Tu complex, 20S proteasome and RNA polymerase III, we illustrate how local sharpening can increase interpretability of density maps in particular in cases of resolution variation and facilitates model building and atomic model refinement. eLife Sciences Publications, Ltd 2017-10-23 /pmc/articles/PMC5679758/ /pubmed/29058676 http://dx.doi.org/10.7554/eLife.27131 Text en © 2017, Jakobi et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Structural Biology and Molecular Biophysics
Jakobi, Arjen J
Wilmanns, Matthias
Sachse, Carsten
Model-based local density sharpening of cryo-EM maps
title Model-based local density sharpening of cryo-EM maps
title_full Model-based local density sharpening of cryo-EM maps
title_fullStr Model-based local density sharpening of cryo-EM maps
title_full_unstemmed Model-based local density sharpening of cryo-EM maps
title_short Model-based local density sharpening of cryo-EM maps
title_sort model-based local density sharpening of cryo-em maps
topic Structural Biology and Molecular Biophysics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5679758/
https://www.ncbi.nlm.nih.gov/pubmed/29058676
http://dx.doi.org/10.7554/eLife.27131
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