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Modeling Beta-Traces for Beta-Barrels from Cryo-EM Density Maps

Cryo-electron microscopy (cryo-EM) has produced density maps of various resolutions. Although α-helices can be detected from density maps at 5–8 Å resolutions, β-strands are challenging to detect at such density maps due to close-spacing of β-strands. The variety of shapes of β-sheets adds the compl...

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Detalles Bibliográficos
Autores principales: Si, Dong, He, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5259677/
https://www.ncbi.nlm.nih.gov/pubmed/28164115
http://dx.doi.org/10.1155/2017/1793213
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author Si, Dong
He, Jing
author_facet Si, Dong
He, Jing
author_sort Si, Dong
collection PubMed
description Cryo-electron microscopy (cryo-EM) has produced density maps of various resolutions. Although α-helices can be detected from density maps at 5–8 Å resolutions, β-strands are challenging to detect at such density maps due to close-spacing of β-strands. The variety of shapes of β-sheets adds the complexity of β-strands detection from density maps. We propose a new approach to model traces of β-strands for β-barrel density regions that are extracted from cryo-EM density maps. In the test containing eight β-barrels extracted from experimental cryo-EM density maps at 5.5 Å–8.25 Å resolution, StrandRoller detected about 74.26% of the amino acids in the β-strands with an overall 2.05 Å 2-way distance between the detected β-traces and the observed ones, if the best of the fifteen detection cases is considered.
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spelling pubmed-52596772017-02-05 Modeling Beta-Traces for Beta-Barrels from Cryo-EM Density Maps Si, Dong He, Jing Biomed Res Int Research Article Cryo-electron microscopy (cryo-EM) has produced density maps of various resolutions. Although α-helices can be detected from density maps at 5–8 Å resolutions, β-strands are challenging to detect at such density maps due to close-spacing of β-strands. The variety of shapes of β-sheets adds the complexity of β-strands detection from density maps. We propose a new approach to model traces of β-strands for β-barrel density regions that are extracted from cryo-EM density maps. In the test containing eight β-barrels extracted from experimental cryo-EM density maps at 5.5 Å–8.25 Å resolution, StrandRoller detected about 74.26% of the amino acids in the β-strands with an overall 2.05 Å 2-way distance between the detected β-traces and the observed ones, if the best of the fifteen detection cases is considered. Hindawi Publishing Corporation 2017 2017-01-10 /pmc/articles/PMC5259677/ /pubmed/28164115 http://dx.doi.org/10.1155/2017/1793213 Text en Copyright © 2017 D. Si and J. He. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Si, Dong
He, Jing
Modeling Beta-Traces for Beta-Barrels from Cryo-EM Density Maps
title Modeling Beta-Traces for Beta-Barrels from Cryo-EM Density Maps
title_full Modeling Beta-Traces for Beta-Barrels from Cryo-EM Density Maps
title_fullStr Modeling Beta-Traces for Beta-Barrels from Cryo-EM Density Maps
title_full_unstemmed Modeling Beta-Traces for Beta-Barrels from Cryo-EM Density Maps
title_short Modeling Beta-Traces for Beta-Barrels from Cryo-EM Density Maps
title_sort modeling beta-traces for beta-barrels from cryo-em density maps
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5259677/
https://www.ncbi.nlm.nih.gov/pubmed/28164115
http://dx.doi.org/10.1155/2017/1793213
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