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Advances in Structure Modeling Methods for Cryo-Electron Microscopy Maps

Cryo-electron microscopy (cryo-EM) has now become a widely used technique for structure determination of macromolecular complexes. For modeling molecular structures from density maps of different resolutions, many algorithms have been developed. These algorithms can be categorized into rigid fitting...

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Detalles Bibliográficos
Autores principales: Alnabati, Eman, Kihara, Daisuke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982917/
https://www.ncbi.nlm.nih.gov/pubmed/31878333
http://dx.doi.org/10.3390/molecules25010082
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author Alnabati, Eman
Kihara, Daisuke
author_facet Alnabati, Eman
Kihara, Daisuke
author_sort Alnabati, Eman
collection PubMed
description Cryo-electron microscopy (cryo-EM) has now become a widely used technique for structure determination of macromolecular complexes. For modeling molecular structures from density maps of different resolutions, many algorithms have been developed. These algorithms can be categorized into rigid fitting, flexible fitting, and de novo modeling methods. It is also observed that machine learning (ML) techniques have been increasingly applied following the rapid progress of the ML field. Here, we review these different categories of macromolecule structure modeling methods and discuss their advances over time.
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spelling pubmed-69829172020-02-06 Advances in Structure Modeling Methods for Cryo-Electron Microscopy Maps Alnabati, Eman Kihara, Daisuke Molecules Review Cryo-electron microscopy (cryo-EM) has now become a widely used technique for structure determination of macromolecular complexes. For modeling molecular structures from density maps of different resolutions, many algorithms have been developed. These algorithms can be categorized into rigid fitting, flexible fitting, and de novo modeling methods. It is also observed that machine learning (ML) techniques have been increasingly applied following the rapid progress of the ML field. Here, we review these different categories of macromolecule structure modeling methods and discuss their advances over time. MDPI 2019-12-24 /pmc/articles/PMC6982917/ /pubmed/31878333 http://dx.doi.org/10.3390/molecules25010082 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Alnabati, Eman
Kihara, Daisuke
Advances in Structure Modeling Methods for Cryo-Electron Microscopy Maps
title Advances in Structure Modeling Methods for Cryo-Electron Microscopy Maps
title_full Advances in Structure Modeling Methods for Cryo-Electron Microscopy Maps
title_fullStr Advances in Structure Modeling Methods for Cryo-Electron Microscopy Maps
title_full_unstemmed Advances in Structure Modeling Methods for Cryo-Electron Microscopy Maps
title_short Advances in Structure Modeling Methods for Cryo-Electron Microscopy Maps
title_sort advances in structure modeling methods for cryo-electron microscopy maps
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982917/
https://www.ncbi.nlm.nih.gov/pubmed/31878333
http://dx.doi.org/10.3390/molecules25010082
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