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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...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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International Union of Crystallography
2009
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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. |
format | Text |
id | pubmed-2631632 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | International Union of Crystallography |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT karmalianjumm modelbuildingstrategiesforlowresolutionxraycrystallographicdata AT blundelltoml modelbuildingstrategiesforlowresolutionxraycrystallographicdata AT furnhamnicholas modelbuildingstrategiesforlowresolutionxraycrystallographicdata |