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Model-building strategies for low-resolution X-ray crystallographic data

The interpretation of low-resolution X-ray crystallographic data proves to be challenging even for the most experienced crystallographer. Ambiguity in the electron-density map makes main-chain tracing and side-chain assignment difficult. However, the number of structures solved at resolutions poorer...

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Detalles Bibliográficos
Autores principales: Karmali, Anjum M., Blundell, Tom L., Furnham, Nicholas
Formato: Texto
Lenguaje:English
Publicado: International Union of Crystallography 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2631632/
https://www.ncbi.nlm.nih.gov/pubmed/19171966
http://dx.doi.org/10.1107/S0907444908040006
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author Karmali, Anjum M.
Blundell, Tom L.
Furnham, Nicholas
author_facet Karmali, Anjum M.
Blundell, Tom L.
Furnham, Nicholas
author_sort Karmali, Anjum M.
collection PubMed
description The interpretation of low-resolution X-ray crystallographic data proves to be challenging even for the most experienced crystallographer. Ambiguity in the electron-density map makes main-chain tracing and side-chain assignment difficult. However, the number of structures solved at resolutions poorer than 3.5 Å is growing rapidly and the structures are often of high biological interest and importance. Here, the challenges faced in electron-density interpretation, the strategies that have been employed to overcome them and developments to automate the process are reviewed. The methods employed in model generation from electron microscopy, which share many of the same challenges in providing high-confidence models of macromolecular structures and assemblies, are also considered.
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spelling pubmed-26316322009-03-05 Model-building strategies for low-resolution X-ray crystallographic data Karmali, Anjum M. Blundell, Tom L. Furnham, Nicholas Acta Crystallogr D Biol Crystallogr Research Papers The interpretation of low-resolution X-ray crystallographic data proves to be challenging even for the most experienced crystallographer. Ambiguity in the electron-density map makes main-chain tracing and side-chain assignment difficult. However, the number of structures solved at resolutions poorer than 3.5 Å is growing rapidly and the structures are often of high biological interest and importance. Here, the challenges faced in electron-density interpretation, the strategies that have been employed to overcome them and developments to automate the process are reviewed. The methods employed in model generation from electron microscopy, which share many of the same challenges in providing high-confidence models of macromolecular structures and assemblies, are also considered. International Union of Crystallography 2009-02-01 2009-01-20 /pmc/articles/PMC2631632/ /pubmed/19171966 http://dx.doi.org/10.1107/S0907444908040006 Text en © Karmali et al. 2009 http://creativecommons.org/licenses/by/2.0/uk/ This is an open-access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.
spellingShingle Research Papers
Karmali, Anjum M.
Blundell, Tom L.
Furnham, Nicholas
Model-building strategies for low-resolution X-ray crystallographic data
title Model-building strategies for low-resolution X-ray crystallographic data
title_full Model-building strategies for low-resolution X-ray crystallographic data
title_fullStr Model-building strategies for low-resolution X-ray crystallographic data
title_full_unstemmed Model-building strategies for low-resolution X-ray crystallographic data
title_short Model-building strategies for low-resolution X-ray crystallographic data
title_sort model-building strategies for low-resolution x-ray crystallographic data
topic Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2631632/
https://www.ncbi.nlm.nih.gov/pubmed/19171966
http://dx.doi.org/10.1107/S0907444908040006
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